#AI-driven Recommendations
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pixelizes · 3 months ago
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How Netflix Masters Personalization Through UX Design
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Netflix has revolutionized the streaming industry by leveraging advanced UX design and personalization strategies to deliver a tailored viewing experience for each user. By analyzing user behavior and preferences, Netflix ensures that every interaction feels customized, enhancing user satisfaction and engagement.
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Personalized Recommendations Through AI
At the heart of Netflix’s personalization is its sophisticated recommendation engine. This system analyzes various data points, including viewing history, search queries, and user ratings, to suggest content that aligns with individual tastes. By continuously learning from user interactions, the platform refines its suggestions, ensuring that users discover content that resonates with them.
Dynamic Artwork Personalization
Netflix goes beyond content recommendations by personalizing the artwork displayed for each title. Depending on a user’s viewing habits, the platform selects images that highlight aspects of a show or movie most likely to appeal to that use. For instance, a user who frequently watches romantic films might see a romantic scene as the thumbnail for a particular movie, while an action enthusiast might see a more dynamic image for the same title. 
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Enhanced Search Experience
Understanding that users often seek specific content, Netflix has optimized its search functionality to be more intuitive and personalized By incorporating user preferences and viewing history into search results, the platform ensures that users find relevant content quickly and efficiently.
Consistent Multi-Device Experience
Netflix ensures a seamless user experience across various devices, including smartphones, tablets, smart TVs, and desktop. This consistency allows users to transition between devices without losing their place in a show or movie, maintaining a cohesive and uninterrupted viewing experience.
Leveraging Behavioral Psychology
The platform employs behavioral psychology principles to enhance user engaged. Features like autoplay and infinite scroll are designed to keep users engaged by reducing decision fatigue and encouraging continuous viewing. 
Continuous Improvement Through Feedback
Netflix actively incorporates user feedback to refine its planform. By analyzing user interactions and preferences, the platform continuously updates its algorithms and interface to better serve its audience, ensuring that the user experience evolves alongside user expectations.
Conclusion
Netflix’s mastery of personalization through UX design has set a benchmark in the streaming industry. By focusing on individual user preferences and behaviors, the platform delivers a tailored and engaging experience that keeps users commonly asking. As technology and user expectations evolve, Netflix’s commitment to personalization ensures it remains at the forefront of digital entertainment.
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crazyfashionsblog · 10 months ago
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The Role of Personalization in Online Retail
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In the fast-paced world of online retail, personalization has become the game-changer that sets brands apart. It’s not just about making shopping easier; it’s about crafting a Personalized Shopping Experience that feels almost tailor-made. From dynamic content to AI-driven recommendations, personalization transforms how we shop, turning routine transactions into engaging experiences. Let’s delve into the multifaceted role of personalization in online retail and understand why it's more than just a trend.
Understanding E-Commerce Personalization
Personalization in e-commerce is the practice of using data to provide a tailored shopping experience for each user. But what does that really mean? Simply put, it involves customizing the online shopping journey based on individual preferences and behaviors.
What is E-Commerce Personalization?
E-commerce personalization involves tailoring website content, product recommendations, and marketing messages to fit the specific needs and preferences of each visitor. By analyzing user data and behavior, retailers can present a shopping experience that feels uniquely relevant to each individual.
For instance, imagine browsing an online shopping site for clothes. Instead of a generic homepage, you’re greeted with products based on your past searches, purchases, and even browsing history. This level of customization enhances user engagement and drives sales.
The Benefits of Personalization
The benefits of personalization are manifold. Here’s a quick rundown:
Enhanced Customer Engagement: Personalized experiences keep users hooked and more likely to return.
Increased Conversion Rates: Tailored recommendations often lead to higher sales as they meet users' specific needs.
Improved Customer Retention: A personalized shopping journey fosters brand loyalty and repeat business.
The Power of Behavioral Targeting in Retail
Behavioral targeting involves analyzing user behavior to predict and influence future actions. By leveraging behavioral targeting, retailers can offer more relevant promotions and recommendations.
How Behavioral Targeting Works
Behavioral targeting relies on data collected from user interactions, such as:
Browsing History: Pages visited, time spent on each page.
Search Queries: Keywords and products searched.
Purchase History: Previous purchases and frequency.
This data helps create detailed consumer profiles, allowing retailers to craft highly targeted marketing campaigns. For instance, if you frequently browse for athletic wear, you might receive exclusive offers on sports gear or new arrivals in that category.
Examples of Effective Behavioral Targeting
Amazon's Recommendation Engine: Amazon’s "Customers who bought this also bought" is a prime example of behavioral targeting. It uses your browsing and purchasing history to suggest products you’re likely to be interested in.
Netflix’s Personalized Content Suggestions: Netflix’s algorithm analyzes your viewing history to recommend shows and movies you might enjoy, keeping you hooked to their platform.
Dynamic Content Personalization: Making Every Interaction Unique
Dynamic content personalization refers to the practice of changing website content in real-time based on user data. This technique ensures that each visitor sees a version of the site that’s tailored just for them.
Why Dynamic Content Matters
Dynamic content makes the shopping experience more engaging by presenting relevant products and offers. For example:
Homepage Customization: A visitor interested in electronics might see a homepage featuring the latest gadgets and tech deals.
Personalized Email Campaigns: Emails that highlight products based on recent searches or past purchases.
Implementing Dynamic Content Personalization
To effectively implement dynamic content, retailers need:
Robust Data Analytics: To collect and analyze user behavior.
Real-Time Data Processing: To update content as users interact with the site.
Flexible Content Management Systems: To manage and display personalized content efficiently.
Leveraging AI-Driven Recommendations
Artificial Intelligence (AI) plays a crucial role in enhancing personalization. AI-driven recommendations use machine learning algorithms to analyze vast amounts of data and provide personalized product suggestions.
How AI-Driven Recommendations Work
AI algorithms analyze:
User Behavior: Browsing patterns, purchase history.
Similar User Profiles: What other users with similar behavior have purchased.
Based on this analysis, AI can suggest products that are highly likely to interest the user. For example, if you’ve been looking at hiking boots, an AI system might recommend related accessories like trekking poles or waterproof jackets.
Benefits of AI-Driven Recommendations
Increased Sales: Personalized recommendations lead to higher conversion rates.
Enhanced User Experience: Users find it easier to discover products they like.
Efficient Inventory Management: By predicting trends and preferences, AI helps in better stock management.
Omnichannel Personalization: Integrating Online and Offline Experiences
Omnichannel personalization ensures a seamless experience across different platforms and touchpoints. It integrates online and offline data to provide a cohesive shopping journey.
What is Omnichannel Personalization?
Omnichannel personalization involves syncing user data across various channels:
Online: Websites, social media, email campaigns.
Offline: Physical stores, customer service interactions.
Creating a Unified Experience
To achieve effective omnichannel personalization:
Centralize Data: Gather and integrate data from all customer touchpoints.
Consistent Messaging: Ensure that marketing messages are consistent across channels.
Cross-Channel Engagement: Enable customers to switch between channels seamlessly, such as starting a purchase online and completing it in-store.
Personalized Shopping Experience: Real-World Examples
Let’s explore some real-world examples of how personalization enhances the shopping experience:
1. Sephora’s Beauty Insider Program
Sephora uses personalization to offer a tailored beauty experience. Their Beauty Insider program rewards members with personalized product recommendations, exclusive discounts, and customized beauty tips based on their purchase history and preferences.
2. Starbucks’ Personalized Offers
Starbucks’ loyalty program provides personalized offers and rewards based on users' purchasing habits. The app sends tailored promotions and suggestions, making each visit more relevant and enjoyable.
3. Zara’s Dynamic Website Experience
Zara’s website adapts in real-time to user preferences. For instance, if you frequently browse for men’s clothing, the homepage will highlight new arrivals and popular items in that category.
The Future of Personalization in Online Retail
Looking ahead, personalization will continue to evolve with advancements in technology. Here’s what to expect:
Enhanced AI Capabilities: More sophisticated algorithms will drive even better recommendations.
Greater Integration: Seamless integration across online and offline channels will become the norm.
Increased Privacy Considerations: As data usage grows, ensuring user privacy will be crucial.
Conclusion
The role of personalization in online retail is undeniable. It transforms the shopping experience from mundane to memorable by offering tailored content, recommendations, and interactions. As technology advances, the scope of personalization will only broaden, making it an indispensable aspect of modern retail. By leveraging e-commerce personalization strategies, retailers can enhance customer satisfaction, drive sales, and foster brand loyalty.
So, the next time you find yourself on an online shopping site for clothes, take a moment to appreciate the personalized experience crafted just for you. It’s not just about convenience; it’s about creating a shopping journey that feels uniquely yours.
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higherincomejob · 6 months ago
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HigherIncomeJobs: AI-Powered Job Matching for Superior Career Options
HigherIncomeJobs is the ultimate AI-powered job search engine designed to connect everyday job seekers with high-paying career opportunities. Using advanced AI matching technology, we simplify your job hunt by identifying positions tailored to your skills, interests, and goals. Whether you're looking for your next big career move or exploring better job prospects, HigherIncomeJobs ensures you find opportunities that truly match your potential. Start your journey to a brighter future with smarter job searching today!
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higherincomej · 6 months ago
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HigherIncomeJobs: AI-Powered Job Search for Better Career Opportunities
HigherIncomeJobs is the ultimate AI-powered job search engine designed to connect everyday job seekers with high-paying career opportunities. Using advanced AI matching technology, we simplify your job hunt by identifying positions tailored to your skills, interests, and goals. Whether you're looking for your next big career move or exploring better job prospects, HigherIncomeJobs ensures you find opportunities that truly match your potential. Start your journey to a brighter future with smarter job searching today!
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adambernard55 · 7 months ago
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3 Ways to Boost Sales with Artificial Intelligence
Delivering Hyper-Targeted Ecommerce Experiences The era of generic, one-size-fits-all ecommerce experiences is fading fast. In its place, we’re witnessing the rise of hyper-personalization, driven by the power of Artificial Intelligence (AI). Gone are the days of basic product recommendations. Today, AI algorithms can analyze vast amounts of customer data – browsing history, purchase history,…
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realjdobypr · 1 year ago
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Unlock AI-Powered Topic Recommendations for Targeted Traffic
The Role of Data in AI-Powered Recommendations Harnessing the Power of Data for Personalized Suggestions In the era of digital transformation, data serves as the cornerstone for driving AI-powered recommendations. Through the analysis of user behavior, preferences, and historical data, businesses can derive invaluable insights to offer personalized suggestions. This not only enriches the user…
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3657aman · 1 year ago
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New Post ‹ Site Title — WordPress.com
https://wordpress.com/post/amanandrabiaonline.wordpress.com?url=https%3A%2F%2Fwordpress.com%2Fgo%2Fcontent-blogging%2Fsetting-your-podcast-marketing-strategy-three-key-steps%2F%3Fpage_id%3D18003265&is_post_share=true&v=5 Aman and Rabia Enterprise can leverage various AI tools to enhance productivity and streamline their operations in the Ethiopian cultural clothes industry. One such tool is…
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#AI tools for image recognition and virtual fitting rooms can revolutionize the online shopping experience for customers#AI-powered demand forecasting tools can help Aman and Rabia Enterprise optimize their inventory management#allowing them to make data-driven decisions and tailor their products to meet consumer needs effectively. Additionally#allowing them to visualize how the cultural garments will look on them before making a purchase. By implementing such tools on their e-comme#Aman and Rabia Enterprise can gain valuable insights into customer preferences#Aman and Rabia Enterprise can increase customer engagement#Aman and Rabia Enterprise can leverage various AI tools to enhance productivity and streamline their operations in the Ethiopian cultural cl#Aman and Rabia Enterprise can unlock new opportunities for growth#and deliver a seamless and personalized experience to their customers in the Ethiopian cultural clothes industry.#and drive sales. In conclusion#and external factors#and market trends#and maximize profitability. Furthermore#and minimize excess inventory costs. By analyzing historical sales data#and personalize marketing campaigns. By utilizing AI-powered analytics#and provide personalized recommendations#automating repetitive tasks through AI-based tools such as chatbots or virtual assistants can free up valuable time for the team to focus on#buying patterns#by integrating AI tools strategically into their workflow#enabling the company to optimize production schedules#enhancing the overall shopping experience for customers while improving operational efficiency for Aman and Rabia Enterprise. Moreover#improve operational efficiency#market trends#minimize waste#process orders#reduce return rates#reduce stockouts#these tools can predict future demand accurately#track sales leads#which can help them efficiently manage customer interactions
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technology-and-beyond · 1 year ago
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How Intelligent Recommendation Engines Reshape Choices?
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Intelligent recommendation engines have become important tools that are changing how we make decisions in the era of excessive information. These engines evaluate enormous volumes of data and offer individualized recommendations based on user preferences. They are powered by sophisticated algorithms and machine learning. These recommendation engines are transforming the way that people make decisions, from streaming services to online retailers.
Reducing the overwhelming number of options available to users is one important way intelligent recommendation engines change decisions. These engines serve as individualized curators in a world overflowing with goods and entertainment, sifting through the clutter and presenting users with options that suit their tastes. This offers options that are more likely to resonate with the user, which not only saves time but also increases satisfaction.
Recommendation engines also facilitate the discovery of new interests. These systems can present users with material or products they might not have found on their own by examining user behavior and preferences. Because it constantly broadens users' horizons, this serendipitous element encourages a sense of discovery and keeps them interested.
Enhancing user engagement and retention is another important function of intelligent recommendation engines. These engines can modify and improve their recommendations over time by learning about the behavior of their users, resulting in a dynamic and customized user experience. This guarantees that users stay engaged with the site and encourages loyalty.
In summary, there is no denying the impact of sophisticated recommendation engines on molding decisions. These engines have become indispensable for navigating the wide array of possibilities available in our digital environment, from streamlining decision-making processes to encouraging inquiry and interaction. Recommendation engines will probably have a greater impact as technology develops, radically altering the way people make decisions in many spheres of their lives.
Access our comprehensive white paper for in-depth insights here
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appandsoftware1 · 2 years ago
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How NexMind Automates SEO Tasks for Top Rankings 2023
NexMind, an innovative AI-powered application that transforms how you run SEO duties and create content, can help you achieve extraordinary marketing success. Are you tired of doing keyword searches manually especially when you have a lot of work to do? Finding the right keyword for Google to rank for is not easy. It requires a lot of hard work in this fast-paced world. That’s why NexMind comes…
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dwellordream · 6 months ago
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Book Recommendations of 2025
The Winner by Teddy Wayne. Thriller. In the midst of the COVID pandemic, aspiring lawyer Conor O’Toole struggles to find work and provide for his homebound mother. A welcome opportunity comes in the form of a job in an exclusive gated community, where Conor will work as a tennis coach to the bored and wealthy. But the pay is not enough to cover his bills, so when one of his clients, an attractive but contemptuous older woman, offers more money under the table in exchange for sex, he hesitantly agrees. Catherine is cruel but beautiful, and Conor is besotted with her- until he meets Emily, a progressive-minded, outspoken girl who challenges and excites him. But Emily is Catherine’s daughter, and Conor quickly discovers that there are no limits to how far he will go to keep his secrets.
Hey, Zoey by Sarah Crossan. Realistic fiction. Dolores has accepted a lot of things about her life- the mundane stresses of her job as a school counselor, her increasingly loveless marriage, her mother’s failing memory- but she cannot accept her husband’s sex doll, Zoey. Driven at first by shock, then rage, and finally banal curiosity, Dolores attempts to befriend Zoey, whose AI system makes her capable of simple small talk. But what Dolores discovers during her chats with Zoey will change the entire course of her life.
No Angel by Penny Vincent. Historical Fiction. It’s 1904, and spoiled, ambitious Celia Beckenham is used to getting what she wants. What she wants is Oliver Lytton, the soft spoken, charming son of a prominent publisher. Defying her aristocratic parents, Celia and Oliver wed, but the coming years will not be easy for them. Celia chafes against the rigid boundaries of Edwardian motherhood, while Oliver resents his wife’s desire for a career and education. And their decision to adopt an impoverished young girl, Barty, into their growing family, will have repercussions no one could have anticipated.
The Unit by Ninni Holmqvist. Dystopian sci fi. Dorrit has recently turned 50, and according to the new laws of her society, all unmarried, childless women over 50 and men over 60 must report to ‘units’, where they can enjoy a peaceful, pleasant retirement with world-class luxuries. But there is a catch- to repay their ‘debt to society’ for refusing to reproduce, the ‘Dispensables’ must donate their bodies to science, piece by piece. Dorrit is resigned to her fate, until she meets Johannes, and for the first time in her life, falls in love.
Before This is Over by Amanda Hickie. Sci fi. An emerging viral pandemic terrifies Hannah, who recovered from cancer just seven years prior. But her family dismisses her warnings as paranoia, until the virus rages through Australian society and grounds life as they know it to a screeching halt. As the piles of dead mount, water and power are cut off, the military mandates martial law, and Hannah must find the strength within herself to protect her husband and sons while the world crumbles around them.
Fevre Dream by George R.R. Martin. Dark fantasy. In 1850s Louisiana, struggling steamboat captain Abner Marsh’s luck is about to change- a wealthy, mysterious gentleman called Joshua York has offered to help him build back his business- starting with the grandest boat to ever steam up the Mississippi River- the Fevre Dream. But Joshua’s generosity comes with a hidden cost, and Abner soon finds himself in the midst of a war between vampire clans- one that may change the fate of history.
The Wife in the Attic by Rose Lerner. Historical fiction. Spinster Deborah Oliver is thrilled at the offer to become a governess at an idyllic country estate, and charmed by the kindhearted Sir Kit Palethorpe and his adorable daughter, Tabby. But Kit’s mysterious, sickly wife has been confined to her bedchamber for years now, and Deborah’s attempts to learn more about her are met with stiff resistance. Tabby claims her mother is damned to Hell. Kit warns she is a madwoman. But Deborah suspects there is more to the story than that, and intends to find out the truth.
The Last Neanderthal by Claire Cameron. Historical fiction. 40,000 years ago, Neanderthals roamed the Earth- and then began to die off, replaced by a new species- Homo sapiens. Girl, a young Neanderthal woman, and her small family roam an increasingly lonely land, hoping to reunite with friends and family at an annual meeting-place. But the life Girl knew is rapidly changing, and the fate of her and her loved ones is uncertain. In the present day, Rose, a determined archaeologist, works frantically to present her discoveries about Neanderthals before her child is born, but motherhood is changing her, and her career seems precarious.
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landminevaskebjorn · 11 days ago
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not all AI is bad. before you kill me just remember planes etc have been driven by ai for years. medical things like mammograms have been done by ai. the issue is generative ai. ai is what customises your tumblr feed. ai is what recommends you what to watch on netflix. if anyone did an ounce of research youd realise that generative ai is the issue, not usually other kinds.
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ventique18 · 1 year ago
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Book 7, Chapter 7, Episode 103
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Malleus made a zombieland lmao
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Ok so remember last episode that mom mentioned that Ortho has a time limit of 20 minutes? Yeah, Malleus' magic is so complicated that it takes a super computer like Ortho 17 minutes to gather data. He's pressed on time, so he gets to work... UNTIL
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???: "My my... And I was wondering what anomaly might be happening in my domain..."
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Malleus: "You... Your appearance has changed, but you are the Littler Shroud, are you not?"
Ortho: "Malleus Draconia..! I knew it... So you did overblot."
Doggy 1: "GRRRR..."
Malleus wonders what Ortho was doing there, because he was quite sure the boy's sleeping soundly at Diasomnia. Ortho explains that it's too bad for Malleus because that body's already empty. He's escaped through the school's wireless LAN.
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Ortho: "I'm just a self-driven AI program data... But even if I say that, you wouldn't really understand right."
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Malleus: "In other words, your consciousness is that of a ghost that left its body to settle into another vessel... Did I get that right?"
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Ortho: "Oh~! So that's how fairies would interpret data transmission!"
(HELP? WHAT KIND OF CONVERSATION IS THIS)
Ortho confirms that yeaaaah, that's basically how it works. So he can move through electronic waves to basically anywhere, even outer space! He also explains that he probed through underwater cables too, but everything was blocked by magic... but through his desperation he realized that wireless waves were accessible to him because
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"Magic is the power of one's imagination. You need to understand something to conjure it... So naturally, you can't do something about things "you don't know about"."
Ortho found Malleus' weakness and exploited it! Malleus knows what cables are, but he doesn't know about the concept of wifi. He got outsmarted because of his ignorance omfg.
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Ortho: "Aren't your cybersecurity awareness a bit dull? I recommend setting up a UTM in your magic domain."
LITTLE BOY'S DISSING THE OLD MAN OMFG!! FUCKING BURNED SDAKNJSDAKLAS
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Malleus: "Yuuteeehm... Is that some sort of abbreviation for a technique?"
(He's actually talking to him in a civil manner??? Malleus is surprisingly in control of the clarity of his intellect...)
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Ortho: "Ehh~ you don't know what that is? That's why you're getting tricked by a junior like me. You're one of the top 5 mages in the realm and a master of unknown ancient magic but... It doesn't matter."
HE'S SO MEAN??
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"I WON'T FALL ASLEEP UNDER YOUR SPELL!"
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Malleus: "Hm... I see. Well, then..."
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Malleus: "An unsleeping, noisy mechanical doll can be silenced by shattering it to pieces."
HE'S SUDDENLY SO MORBID
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Ortho: "If you try to do that, then... "I'll show you STYX's... Humanity's greatest technological power!"
Ortho notes to himself that Malleus seems to be ignoring the data-collecting machines he's brought with him. He has 13 minutes left before the data gathering completes, so he MUST buy time until then!
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Malleus: "May I ask all uninvited guests to leave at once."
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3657aman · 1 year ago
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New Post ‹ Site Title — WordPress.com
https://wordpress.com/post/amanandrabiaonline.wordpress.com?url=https%3A%2F%2Fwordpress.com%2Fgo%2Fcontent-blogging%2Fsetting-your-podcast-marketing-strategy-three-key-steps%2F%3Fpage_id%3D18003265&is_post_share=true&v=5 Aman and Rabia Enterprise can leverage various AI tools to enhance productivity and streamline their operations in the Ethiopian cultural clothes industry. One such tool is…
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View On WordPress
#AI tools for image recognition and virtual fitting rooms can revolutionize the online shopping experience for customers#AI-powered demand forecasting tools can help Aman and Rabia Enterprise optimize their inventory management#allowing them to make data-driven decisions and tailor their products to meet consumer needs effectively. Additionally#allowing them to visualize how the cultural garments will look on them before making a purchase. By implementing such tools on their e-comme#Aman and Rabia Enterprise can gain valuable insights into customer preferences#Aman and Rabia Enterprise can increase customer engagement#Aman and Rabia Enterprise can leverage various AI tools to enhance productivity and streamline their operations in the Ethiopian cultural cl#Aman and Rabia Enterprise can unlock new opportunities for growth#and deliver a seamless and personalized experience to their customers in the Ethiopian cultural clothes industry.#and drive sales. In conclusion#and external factors#and market trends#and maximize profitability. Furthermore#and minimize excess inventory costs. By analyzing historical sales data#and personalize marketing campaigns. By utilizing AI-powered analytics#and provide personalized recommendations#automating repetitive tasks through AI-based tools such as chatbots or virtual assistants can free up valuable time for the team to focus on#buying patterns#by integrating AI tools strategically into their workflow#enabling the company to optimize production schedules#enhancing the overall shopping experience for customers while improving operational efficiency for Aman and Rabia Enterprise. Moreover#improve operational efficiency#market trends#minimize waste#process orders#reduce return rates#reduce stockouts#these tools can predict future demand accurately#track sales leads#which can help them efficiently manage customer interactions
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technology-and-beyond · 1 year ago
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How Intelligent Recommendation Engines Transform User Experience?
Revolutionizing user experience: Intelligent recommendation engines take a quantum leap forward, tailoring personalized suggestions.
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doubledeadstudio · 1 year ago
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Hello! Welcome to the official Double Dead Studio Tumblr, the solodev behind Reanimated Heart, Another Rose in His Garden, and Pygmalion's Folly.
Reanimated Heart is a character-driven horror romance visual novel about finding love in a mysterious small town. There are three monstrous love interests with their own unique personalities and storylines.
Another Rose in His Garden is an 18+ erotic Omegaverse BL visual novel. Abel Valencia is an Omega who's hidden his secondary sex his entire life. Life's alright, until he meets the wealthy tycoon, Mars Rosales, and the two get embroiled in a sexual affair that changes his life forever.
Pygmalion's Folly is a survival murdersim where you play as Roxham Police Department's star detective, hellbent on finding your sister's killer... until he finds you. 
Content Warning: All my games are 18+! They contains dark subject matter such as violence and sexual content. Player discretion is advised.
This blog is ran by Jack, the creator.
Itch | Link Tree | Patreon | Twitter
Guidelines
My policy for fanwork is that anything goes in fiction, but respect my authority and copyright outside it. This means normal fan activity like taking screencaps, posting playthroughs, and making fanart/fanfiction is completely allowed, but selling this game or its assets isn't allowed (selling fanwork of it is fine, though). You are also not allowed to feed any of my assets to AI bots, period, even if it's free.
Do not use my stuff for illegal or hateful content.
Also, I expect everyone to respect the Content Warnings on the page. I'm old and do not tolerate fandom wank.
For more details about how I view Fanwork, refer to this post.
F.A.Q.
Who are the main Love Interests in Reanimated Heart?
Read their character profiles here!!
Who's the team?
Jack (creator, writer, artist), mostly. I closely work with Exodus (main programmer) and Claira (music composer). My husband edits the drafts.
For Reanimated Heart, my friend Bonny makes art assets. I've also gotten help from outsiders like Sleepy (prologue music + vfx) and my friend Gumjamin (main menu heart animation).
For Reanimated Heart's VOs, Alex Ross voices Crux, Devin McLaughlin voices Vincenzo, Christian Cruz voices Black, Maganda Marie voices Grete, and Zoe D. Lee voices Missy.
Basically, it's mostly just me & outsourcing stuff to my friends and professionals.
How can I support Double Dead Studio productions?
You can pay for the game, or join our monthly Patreon! If you don't have any money, just giving it a nice rating and recommending it to a friend is already good enough. :)
Where do the funds go to?
Almost 100% gets poured back into the game. More voice acting, more music, more trailers, more art, etc. I also like to give my programmer a monthly tip for helping me.
This game is really my insane passion project, and I want to make it better with community support.
I live in the Philippines and the purchasing power of php is not high, especially since many of the people I outsource to prefer USD. (One time I spent P10k of my own money in one month just to get things.) I'll probably still do that, even if no money comes in, until I'm in danger of getting kicked out the street… but maybe even then? (jk)
What platforms will Reanimated Heart be released in?
Itch and then Steam when it's fully finished. Still looking into other options, as I hear both are getting bad.
Will Reanimated Heart be free?
Chapter 1 will be free. The rest will be updated on Patreon exclusively until full release.
Are you doing a mobile version?
Yeah. Just Android for now, but it's in the works.
Where can I listen to Reanimated Heart's OST?
It is currently up on YouTube, Spotify, and Bandcamp!
Why didn't you answer my ask?
A number of things! Two big ones that keep coming up are Spoilers (as in, you asked something that will be put in an update) or it's already been asked. If you're really dying to know, check the character tags or the meta commentary. You might find what you're looking for there. :)
Will there be a sequel to Pygmalion's Folly?
It's not my first concern right now, but I am planning on it.
Tag List for Navigation
Just click the tags to get to where you wanna go!
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malegains · 2 years ago
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So I think a lot of Bing driven AI blogs have fallen off since the NSFW filter went super strict for about 48 hours about nine days ago. Even though it relaxed again, the landscape it left behind was very different. Old tricks didn’t work anymore. But new tricks can be discovered and exploited, and the last few days I’ve been getting my sexiest and most extreme results ever. All the stuff I’ve posted in the las six days has been newly made, not backlog (my backlog is enormous… will I ever clear it? Probably not)
In the interest of community and education, here is an example.
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These four images were the result of one submission of one prompt - I didn’t have to wrestle the machine for them at all. The prompt is:
underexposed Polaroid, side view from far away, two Icelandic bodybuilding bros facing each other submerged near a hot spring, enormously muscular, golden light, loving embrace, buzzed blond hair, relaxed, unbelievably enormous muscles, muscle morph, leg muscles like enormous heavy water balloons, enormous muscular arms, high body fat, leaning against each other
Now be warned, this is a bit of a jenga tower. Moving things around too much may break it. I’d recommend writing your own from scratch but stealing specific key phrases, modifying and evolving those, see what works best for you.
Thanks to @thespacewerewolf for the “near a hot spring” trick to get them into a hot spring, and to @zangtangimpersonator for the water balloon / weather balloon comparison trick, which is a Swiss Army knife of a prompt for anyone who likes big round shapes.
This is why I unpinned my old tutorial. The spirit is the same - think of twisty ways to ask for what you want, certain scenario seem way more permissive than others, throwing in random details seems to help, etc etc etc. But the specifics have changed, and the sample prompts I built in a couple old tutorial posts won’t really work now as they did then. Keep evolving your prompts, experimenting, and sharing what works for you.
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