Anchor-based Collaborative Filtering

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

12 اقتباسات (Scopus)

ملخص

Modern-day recommender systems are often based on learning representations in a latent vector space that encode user and item preferences. In these models, each user/item is represented by a single vector and user-item interactions are modeled by some function over the corresponding vectors. This paradigm is common to a large body of collaborative filtering models that repeatedly demonstrated superior results. In this work, we break away from this paradigm and present ACF: Anchor-based Collaborative Filtering. Instead of learning unique vectors for each user and each item, ACF learns a spanning set of anchor-vectors that commonly serve both users and items. In ACF, each anchor corresponds to a unique "taste'' and users/items are represented as a convex combination over the spanning set of anchors. Additionally, ACF employs two novel constraints: (1) exclusiveness constraint on item-to-anchor relations that encourages each item to pick a single representative anchor, and (2) an inclusiveness constraint on anchors-to-items relations that encourages full utilization of all the anchors. We compare ACF with other state-of-the-art alternatives and demonstrate its effectiveness on multiple datasets.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفCIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management
الصفحات2877-2881
عدد الصفحات5
رقم المعيار الدولي للكتب (الإلكتروني)9781450384469
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 26 أكتوبر 2021
منشور خارجيًانعم
الحدث30th ACM International Conference on Information and Knowledge Management, CIKM 2021 - Virtual, Online, أستراليا
المدة: ١ نوفمبر ٢٠٢١٥ نوفمبر ٢٠٢١

سلسلة المنشورات

الاسمInternational Conference on Information and Knowledge Management, Proceedings

!!Conference

!!Conference30th ACM International Conference on Information and Knowledge Management, CIKM 2021
الدولة/الإقليمأستراليا
المدينةVirtual, Online
المدة١/١١/٢١٥/١١/٢١

بصمة

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