کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4948322 1439611 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Social recommendation via multi-view user preference learning
ترجمه فارسی عنوان
توصیه های اجتماعی از طریق یادگیری ترجیحات کاربر چندین دیدگاه
کلمات کلیدی
سیستم میکروبلاگینگ، توصیه های اجتماعی، یادگیری ترجیحات کاربر چند نمایشه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Recommender system (RS) has become an active research area driven by the enormous industrial demands. Meanwhile, with the rapid development of microblogging system, various kinds of social data are available, which provide opportunities as well as challenges for traditional RSs. In this paper, we introduce the social recommendation (SR) problem utilizing microblogging data. We study this problem via multi-view user preference learning. Specifically, we first model user preference by learning a low-dimensional common representation of multi-view information including rating information, social relations, item side information, tagging information, and then recommend items based on the learnt user preference. We also develop an efficient alternating direction method of multipliers (ADMM) scheme to solve the proposed model. We empirically evaluate our approach using two real world datasets to demonstrate the significant improvement of our proposed approach against the state-of-the-art algorithms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 216, 5 December 2016, Pages 61-71
نویسندگان
, , , , ,