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Maximizing Web-based Recommender Systems Efficiency and User Experience

Explore different types of classification and collaborative filtering methods used in web recommender systems. Understand user and item representation, feedback collection, and ways to enhance recommendations for Amazon.com and Findory.com. Discover how other popular sites like Last.fm and StumbleUpon utilize personalized recommendations and feedback mechanisms. Learn how to optimize your recommendations and improve user engagement.

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Maximizing Web-based Recommender Systems Efficiency and User Experience

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  1. A Glimpse of Recommender Systems on the Web Bin Tan 4/26/07

  2. Classification • Method: content-based, collaborative, hybrid • Collaborative filtering: user-to-user, item-to-item • User & item representation: id, keywords, category, metadata, context (demographics, time, location, social network) • Feedback: explicit, implicit

  3. Amazon.com • Item-to-item collaborative filtering • Feedback collected from purchases, ratings and page views • User profile editable • Efficient • Amazon.com recommendations: item-to-item collaborative filtering

  4. Amazon.com Highlights • Customers with Similar Searches Purchased … • What Do Customers Buy After Viewing This Item? • Better Together Buy this item with … today! • Customers who bought this item also bought … • Explore similar items: more like this / by category • Customers viewing this page may be interested in these Sponsored Links • Rate this item to improve your recommendations • Today’s Recommendation For You • Category Tags • Improve Your Recommendations • Update your Amazon history to improve your recommendations

  5. Findory.com (52,002) • Personalized News • Clickthrough as feedback

  6. LibraryThing.com (8,939) • Personal library management • Add a book by searching catalogs of 70 online libraries • Share book rating, tags, reviews • Find people with similar books • Get book recommendations

  7. Other Popular Sites • Last.fm (music) 350 • iLike.com (music) 2,322 • RateYourMusic.com 5,463 • FilmAffinity.com 7,443 • Douban.com (books, movies, music) 1,485

  8. StumbleUpon • Firefox / IE plug-in • Recommend web pages, photos, videos, news • Feedback: user-selected categories, item rating (thumb-up/down) • Social network features

  9. References • Wikipedia: Collaborative Filtering • Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

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