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WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 24 days ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 7 months ago
On Affinity Measures for Artificial Immune System Movie Recommenders
We combine Artificial Immune Systems (AIS) technology with Collaborative Filtering (CF) and use it to build a movie recommendation system. We already know that Artificial Immune Sy...
Uwe Aickelin, Qi Chen
ADAPTIVE
2007
Springer
14 years 1 months ago
Adaptive Support for Distributed Collaboration
Abstract. Through interaction with others, a person develops multiple perspectives that become the basis for innovation and the construction of new knowledge. This chapter discusse...
Amy Soller
EMNLP
2006
13 years 9 months ago
Relevance Feedback Models for Recommendation
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...
Masao Utiyama, Mikio Yamamoto
CIKM
2008
Springer
13 years 9 months ago
Probabilistic polyadic factorization and its application to personalized recommendation
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang