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» Learning to recommend questions based on user ratings
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RECSYS
2010
ACM
14 years 10 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
CIKM
2008
Springer
14 years 11 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
14 years 8 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
CHI
2009
ACM
15 years 10 months ago
Designing for discovery: opening the hood for open-source end user tinkering
According to the Free Software Movement, the user ought to have "the freedoms to make changes, and to publish improved versions" and "to study how the program works...
Gifford Cheung, Parmit Chilana, Shaun K. Kane, Bra...
JUCS
2010
97views more  JUCS 2010»
14 years 8 months ago
Usage-based Object Similarity
: Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative ...
Katja Niemann, Maren Scheffel, Martin Friedrich, U...