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SAC
2008
ACM
13 years 9 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
TASLP
2010
188views more  TASLP 2010»
13 years 8 months ago
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags
—Social tagging is becoming increasingly popular in music information retrieval (MIR). It allows users to tag music items like songs, albums, or artists. Social tags are valuable...
Alexandros Nanopoulos, Dimitrios Rafailidis, Panag...
KES
2011
Springer
13 years 4 months ago
Recommendation for English multiple-choice cloze questions based on expected test scores
When students study for multiple-choice cloze tests as the Test of English for International Communication (TOEIC), they tend to repeatedly tackle questions of the same type. In su...
Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toy...
WWW
2006
ACM
14 years 10 months ago
The credibility of the posted information in a recommendation system based on a map
We propose a method for estimating the credibility of the posted information from users. The system displays these information on the map. Since posted information can include sub...
Koji Yamamoto, Daisuke Katagami, Katsumi Nitta, Ak...
KDD
2001
ACM
156views Data Mining» more  KDD 2001»
14 years 10 months ago
A Customer Purchase Incidence Model Applied to Recommender Services
In this contribution we transfer a customer purchase incidence model for consumer products which is based on Ehrenberg's repeat-buying theory to Web-based information products...
Andreas Geyer-Schulz, Michael Hahsler, Maximillian...