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GAIBT Cleveland - Personalizer.pptx
Luis Beltrán discusses the implementation of Azure Personalizer for delivering personalized user experiences using machine learning, emphasizing its application in platforms like Netflix and its advantages in customer satisfaction and revenue growth. The Azure Personalizer leverages reinforcement learning to adapt to user preferences in real-time, improving the relevance of recommendations. It is designed for quick integration into business processes, providing a robust framework for creating individualized experiences across various applications.
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GAIBT Cleveland - Personalizer.pptx
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- 2. #GlobalAICommun ity #GlobalAIBackTogeth er Delivering personalized user experienceswith Azure Personalizer Luis Beltrán Microsoft MVP
- 3. #GlobalAICommun ity #GlobalAIBackTogeth er luis@luisbeltran.mx @darkicebeam Luis Beltrán • Researcherat Tomas Bata University in Zlín, Czech Republic • Lecturer at Tecnológico Nacional de México in Celaya, Mexico • Xamarin, Azure, AI
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- 6. #GlobalAICommun ity #GlobalAIBackTogeth er Have you evernoticed…? Same series, but different artwork?
- 7. #GlobalAICommun ity #GlobalAIBackTogeth er • By usingMachine Learning, Netflix studies their users’ behavior and viewing history in order to recommend the “right” artwork for them. • If the artwork representing a title captures something compelling to users, then it acts as a gateway into that title and gives subscribers some visual “evidence” for why the title might be good for them.
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- 10. #GlobalAICommun ity #GlobalAIBackTogeth er Proven ROI Customer Experience Transformation Pays Off Source:McKinsey, Microsoft Services Before After Increase Customer Satisfaction by up to 20 % Before After Increase Revenue Growth by 10-15 % Before After Lower Cost To Serve by 15 a 20 % Brands that excel at personalization deliver 5-8 times the marketing ROI and boost their sales by more than 10% over companies that don’t personalize
- 11. #GlobalAICommun ity #GlobalAIBackTogeth er Microsoft Experience andResults Xbox Home RESULTS +40% lift in engagement for items +2.5% increase in mixer engagements MSN News RESULTS +25% improvement in News clickthrough Personalized: News content on top of page in MSN.com Reward: Click on content on the first slot Model updated every 5 minutes Personalized: Type of content in hero position, item in secondary place. Reward: Click and engagement
- 12. #GlobalAICommun ity #GlobalAIBackTogeth er Personalization across experiences EmailCampaigns Content Creative Content Layout Suggesting from a menu Alerts, Playlists, Content Items (articles, tips, blog posts, etc) Content Suggestions
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- 14. #GlobalAICommun ity #GlobalAIBackTogeth er Reinforcement Learning • RLrefers to a branch of AI / ML, which is aimed at goal-oriented problems. • RL algorithms can achieve complex goals by maximizing a reward function in many steps, for example, points won in a multi-step game. • The reward function works in a similar way to incentivizing a child with sweets and punishments, with the algorithm penalizing itself when it makes a wrong decision and rewarding itself when it makes the right one; this is a reinforcement.
- 15. #GlobalAICommun ity #GlobalAIBackTogeth er Reinforcement Learning inRecommendation systems • Recommenders: given a user profile and categorized content, a system makes a recommendation based on popularity, interests, demographics, frequency, and other features. • RL's boost aspect allows it to more quickly adapt to real-time changes in the user's sentiment and profile, without the need for explicit (re) training. Enterprise adoption also appears to be gaining momentum with the recent availability of cloud APIs such as Azure Personalizer and Google's RecSim.
- 16. #GlobalAICommun ity #GlobalAIBackTogeth er Reinforcement Learning • Reward(𝑟): refers to the feedback by which we measure the success or failure of the action recommended by an agent. • Policy (𝜋): is the strategy used by the agent to select the next best action.
- 17. #GlobalAICommun ity #GlobalAIBackTogeth er An example ofReinforcement Learning app architecture
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- 20. #GlobalAICommun ity #GlobalAIBackTogeth er Azure Cognitive Services ComputerVision Face API Custom Vision Text-to-Speech Speech-to-Text Speech Translator Speaker Recognition Language Understanding Text Translator Text Analytics QnA Maker Anomaly Detector Content Moderator Personalizer microsoft.com/cognitive Vision Speech Language Decision
- 21. #GlobalAICommun ity #GlobalAIBackTogeth er Azure Applied AIServices • Go live with AI solutions in days—not months. • Generate tangible value for your organization quickly with AI services for common business processes. • Azure Applied AI Services bring together Azure Cognitive Services, task-specific AI, and business logic to offer you turnkey AI services for common business processes.
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- 24. #GlobalAICommun ity #GlobalAIBackTogeth er Azure Personalizer Personalizer isan AI service that delivers the right user experience at the right time.
- 25. #GlobalAICommun ity #GlobalAIBackTogeth er Azure Personalizer • Microsoftis the first company to offer reinforcement learning for the enterprise thanks to Personalizer service. • The model’s learning cycle runs at digital speed and it learns from a simple compensation score that is optimized to meet business goals. • It allows to offer smarter experiences for each user that improve over time. • Unlike recommendation engines that adopt some features and suggest items from a large catalog, Personalizer takes some items with sophisticated features and predicts the best result for the specific user on that device at the same time.
- 26. #GlobalAICommun ity #GlobalAIBackTogeth er Sample scenario Have Fun! … Wethink you’ll like ? Watch Play Join Personalizer Watch Action 2 Info Action 3 Info User & Context Info Action 1 info Your Users Your business logic observing & evaluating user behavior Reward Score Reward (r) Personalizer Service Rank (..) Join Play Join Watch Play Join
- 27. #GlobalAICommun ity #GlobalAIBackTogeth er Discovering Patterns &Casuality Exploit vs Explore
- 28. #GlobalAICommun ity #GlobalAIBackTogeth er Typical training nowhas new patterns Ranking Leverage existing recommendation engine data, approved user profiles, or context data sources Feedback Discover new patterns and retrain on existing models, improve frameworks over time Product / Media Catalog e.g. 500,000 items User 30 Items Personalizer Top contextual & personalized products Recommendation Engine Existing Personalization Existing Segmentation, Collaborative Filtering, Etc. Editorial Team Editorial Team creates content Typical training now has new patterns
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- 30. #GlobalAICommun ity #GlobalAIBackTogeth er • Send information(features) about your users and the content (actions) to personalize. • Personalizer responds with the top action. • Send feedback to Personalizer about how well the ranking worked as a number typically between 0 and 1.
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- 32. #GlobalAICommun ity #GlobalAIBackTogeth er Crea el recurso Copialos siguientes datos: - Llave 1 - Ubicación - Endpoint
- 33. #GlobalAICommun ity #GlobalAIBackTogeth er Personalizer SDK • Microsoft.Azure.CognitiveServices.Personalizer(Nuget Package) • APIs: • Rank API – Choose the best item (from actions) based on real-time information, providing content and context. • Reward API – Determine the score based on your business needs and send this feedback to Personalizer (1 - good, 0 - bad)
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- 44. #GlobalAICommun ity #GlobalAIBackTogeth er Where to usePersonalizer? • Build individual experiences: which article(s) are featured on a news website for a user. • Determine which recommended product should appear to each customer in an online store. • Suggest UI elements, such as filters, to apply to a photo.
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- 46. #GlobalAICommun ity #GlobalAIBackTogeth er Personalizer is includedin the Azure Free Tier
- 47. #GlobalAICommun ity #GlobalAIBackTogeth er Do you wantto learn more? What is Personalizer? https://azure.microsoft.com/en-us/services/cognitive- services/personalizer/ Some Demos https://personalizationdemo.azurewebsites.net/ https://personalizercontentdemo.azurewebsites.net Quickstart https://docs.microsoft.com/en-us/azure/cognitive- services/personalizer/quickstart-personalizer-sdk
- 48. #GlobalAICommun ity #GlobalAIBackTogeth er Do you wantto learn more? Configure Personalizer learning loop https://docs.microsoft.com/en-us/azure/cognitive-services/personalizer/how-to-settings Tutorial: Add Personalizer to a .NET web app https://docs.microsoft.com/en-us/azure/cognitive-services/personalizer/tutorial-use- personalizer-web-app Personalizer on Microsoft Learn https://docs.microsoft.com/en-us/learn/modules/intro-to-personalizer/ Pluralsight https://www.pluralsight.com/courses/microsoft-azure-cognitive-services-personalizer
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- 50. #GlobalAICommun ity #GlobalAIBackTogeth er Delivering personalized user experienceswith Azure Personalizer Luis Beltrán Microsoft MVP Thank you for your attention! about.me/luis-beltran