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DIS
2004
Springer
15 years 7 months ago
Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions
Product recommendation is an important part of current electronic commerce. Useful, direct and indirect relationships between pages, especially product home pages in an e-commerce ...
Przemyslaw Kazienko
123
Voted
JCDL
2010
ACM
155views Education» more  JCDL 2010»
15 years 6 months ago
Scholarly paper recommendation via user's recent research interests
We examine the effect of modeling a researcher’s past works in recommending scholarly papers to the researcher. Our hypothesis is that an author’s published works constitute a...
Kazunari Sugiyama, Min-Yen Kan
133
Voted
HT
2010
ACM
15 years 3 months ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
16 years 2 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
AH
2008
Springer
15 years 8 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci