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RECSYS
2010
ACM
8 years 7 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
RECSYS
2010
ACM
8 years 7 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
RECSYS
2010
ACM
8 years 7 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
UAI
2003
8 years 8 months ago
Preference-based Graphic Models for Collaborative Filtering
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
Rong Jin, Luo Si, ChengXiang Zhai
UAI
2004
8 years 8 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
UAI
2004
8 years 8 months ago
Maximum Entropy for Collaborative Filtering
Within the task of collaborative filtering two challenges for computing conditional probabilities exist. First, the amount of training data available is typically sparse with resp...
C. Lawrence Zitnick, Takeo Kanade
IADIS
2003
8 years 8 months ago
Dynamic Collaborative Filtering for the World Wide Web
Collaborative Filtering systems suggest items to a user because it is highly rated by some other user with similar tastes. Although these systems are achieving great success on we...
Gulden Uchyigit, Keith L. Clark
ECIR
2006
Springer
8 years 8 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
8 years 8 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
AAAI
2004
8 years 8 months ago
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Giuseppe Carenini, Rita Sharma
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