Anchor-based Collaborative Filtering

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

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


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
ناشرAssociation for Computing Machinery
عدد الصفحات5
رقم المعيار الدولي للكتب (الإلكتروني)9781450384469
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 26 أكتوبر 2021
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


!!Conference30th ACM International Conference on Information and Knowledge Management, CIKM 2021
المدينةVirtual, Online

ملاحظة ببليوغرافية

Publisher Copyright:
© 2021 ACM.


أدرس بدقة موضوعات البحث “Anchor-based Collaborative Filtering'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا