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» Recommender Systems by means of Information Retrieval
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AICCSA
2006
IEEE
90views Hardware» more  AICCSA 2006»
15 years 3 months ago
ICE: A System for Identification of Conflicts in Exams
Although E-learning has advanced considerably in the last decade, some of its aspects, such as E-testing, are still in the development phase. Authoring tools and test banks for E-...
Hicham Hage, Esma Aïmeur
SIGIR
2005
ACM
15 years 3 months ago
Self-organizing distributed collaborative filtering
We propose a fully decentralized collaborative filtering approach that is self-organizing and operates in a distributed way. The relevances between downloading files (items) are...
Jun Wang, Marcel J. T. Reinders, Reginald L. Lagen...
FUZZIEEE
2007
IEEE
15 years 1 months ago
A Linguistic Multi-level Weighted Query Language to Represent User Information Needs
An ordinal fuzzy linguistic Information Retrieval System (IRS) based on a multi-level weighting scheme to represent the user queries, in a more flexible way, is proposed. The IRS a...
Enrique Herrera-Viedma, Antonio Gabriel Lóp...
DEXA
2007
Springer
127views Database» more  DEXA 2007»
15 years 3 months ago
A Method for Determining Ontology-Based Semantic Relevance
The semantic web is based on ontologies and metadata that indexes resources using ontologies. This indexing is called annotation. Ontology based information retrieval is an operati...
Tuukka Ruotsalo, Eero Hyvönen
RECSYS
2010
ACM
14 years 7 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic