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AH
2008
Springer
15 years 4 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
IV
2007
IEEE
110views Visualization» more  IV 2007»
15 years 4 months ago
Visualizing Collaborative Filtering in Digital Collections
The NEAR (Navigating Exhibitions, Annotations and Resources) panel is a method of managing digital collections and user preferences through collaborative filtering and graphically...
Victor Y. Chen, Cheryl Z. Qian, Robert F. Woodbury
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
15 years 3 months ago
Collaborative Filtering Process in a Whole New Light
Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and ecommerce applications. These systems combine information retrieval and data mini...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
APSEC
2005
IEEE
15 years 3 months ago
Recommendation of Software Technologies Based on Collaborative Filtering
Software engineers have to select some appropriate development technologies to use in the work; however, engineers sometimes cannot find the appropriate technologies because there...
Tomohiro Akinaga, Naoki Ohsugi, Masateru Tsunoda, ...
ITRUST
2005
Springer
15 years 3 months ago
Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences
Collaborative Filtering (CF), the prevalent recommendation approach, has been successfully used to identify users that can be characterized as “similar” according to their logg...
Manos Papagelis, Dimitris Plexousakis, Themistokli...