文件名称：推荐系统领域相关论文
文件大小：14.13MB
文件格式：ZIP
更新时间：2021-03-05 10:42:58
推荐系统
推荐系统领域相关论文，包括工业界流行的、Recsys索引最高的、Recsys比赛优秀论文。
【文件预览】：
RecSys best-paper-awards
----A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems.pdf(532KB)
----Local Item-Item Models for Top-N Recommendation.pdf(406KB)
----Modeling the Assimilation-Contrast Effects in Online Product Rating Systems Debiasing and Recommendations#U200a.pdf(1.88MB)
----Beyond Clicks Dwell Time for Personalization#U200a.pdf(392KB)
----Context-Aware Event Recommendation in Event-based Social Networks.pdf(1.14MB)
influential paper in the industry
----Toward the next generation of recommender systems.pdf(556KB)
----Item-based collaborative filtering recommendation algorithms.pdf(253KB)
----Ad Click Prediction a View from the Trenches.pdf(1.18MB)
----Information Seeking-Convergence of Search Recommendations and Advertising.pdf(312KB)
----Collaborative Filtering with Temporal Dynamic.pdf(447KB)
----Factorization_Meets_the_Neighborhood-_a_Multifaceted_Collaborative_Filtering_Model.pdf(481KB)
----matrix factorization techniques for recommender systems.pdf(1.48MB)
----Restricted Boltzmann Machines for Collaborative Filtering.pdf(186KB)
----Amazon-Recommendations-Recommendations Item-to-Item Collaborative Filtering.pdf(359KB)
----The Wisdom of The Few .pdf(322KB)
----Netflix Prize中的协同过滤算法.pdf(1.69MB)
----Context-Aware Recommender Systems.pdf(939KB)
RecSys conference papers
----Hidden factors and hidden topics understanding rating dimensions with review text.pdf(585KB)
----Multiverse recommendation n-dimensional tensor factorization for context-aware collaborative filtering.pdf(298KB)
----Performance of Recommender Algorithms on Top-N Recommendation Tasks .pdf(312KB)
----Trust-aware recommender systems#U200a.pdf(2.35MB)
----A matrix factorization technique with trust propagation for recommendation in social networks#U200a.pdf(688KB)