Microsoft R&D, Israel A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems Shay Ben-Elazar1,2, Noam Koenigstein1 1. Microsoft R&D, Israel 2. Department of Computer Science, Tel Aviv University, Israel • Explanations accompanying a recommendation attempt to increase a user’s confidence, help him make good purchase decisions faster, persuade him and attempt to increase the ease of usability or enjoyment in the system1 . • CF systems tend to draw on item similarity in latent space which has several major drawbacks and tend to be vague or confusing. • We utilize hand curated meta-data labels and implement a set of algorithms which given a user’s history and recommended item find a satisfying explanation in a “lowest commend denominator” approach. 1) Based on “A Survey of Explanations in Recommender Systems”, Masthoff et.al 2007 (illustration) • Compat Pack 3: Containment Suit Doomsday Skin • SUPER STREETFIGHTER IV ARCADE EDITION • ULTIMATE MARVEL VS. CAPCOM 3 • Dead or Alive 5 Fighting Tournament • Dead or Alive 5 Ultimate Supports Online Competitive Multiplayer • Soulcalibur IV for more than 16 Players • SOULCALIBUR • SAMURAI SHOWDOWN SEN Violence • Small Arms Side View • Puzzle Quest: Challenge of the Warlords • THE KING OF FIGHTERS98 ULTIMATE Ninjas/Samurai • Module I – History Count MATCH (Personalization) • Fighting Vipers • Module II – Manual Priorities • SOULCALIBUR II HD ONLINE Distance to • Trendy Customization Equipment (Explanation quality) recommendation • Red Son Pack A • Module III – TF-IDF (label • Cepheus Compatibility Pack 4 quality) • Tekken Costumes 1 0 • Module IV –Must be in TF-IDF counts 0.12 Recommended Item Ninjas/Samurai . Side View (Explanation quality) . 0.34 “Side View Fighting Violence • Module V – Betweenness . 0.12 Fighting Tournament (Personalization) . Tournament games Martial Arts • Module VI – Embedding Latent . Contains Single Player… (Gene quality) . B . containing Supports Online Competitive… • . PCA 0.91 Puzzle Adventure • Latent . Ninjas/Samurai” . Universe Based on Animated… space Top Down 0.6 embedding.