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» A Lattice-Based Model for Recommender Systems
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SIGIR
2011
ACM
14 years 2 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
ADBIS
2007
Springer
207views Database» more  ADBIS 2007»
15 years 6 months ago
Applying User Profile Ontology for Mining Web Site Adaptation Recommendations
The Internet consists of web sites that employ different kinds of structures as the backbone of their build-up. However, users are browsing the web according to its content, regard...
Tarmo Robal, Ahto Kalja
ICTAI
2010
IEEE
14 years 9 months ago
Comparing Approaches to Preference Dominance for Conversational Recommenders
A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tr...
Walid Trabelsi, Nic Wilson, Derek G. Bridge, Franc...
JCDL
2005
ACM
95views Education» more  JCDL 2005»
15 years 5 months ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen
RECSYS
2010
ACM
15 years 2 days ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...