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» Feature-Weighted User Model for Recommender Systems
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SIGIR
2008
ACM
13 years 7 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
DSRT
2005
IEEE
14 years 1 months ago
Collaborative Visualization: A Review and Taxonomy
We present a brief review of 42 collaborative visualization systems, grouped into four application areas: collaborative problem-solving environments, virtual reality environments,...
Ian J. Grimstead, David W. Walker, Nick J. Avis
FLAIRS
2011
12 years 11 months ago
Intentional Analysis of Medical Conversations for Community Engagement
With an explosion in the proliferation of user-generated content in communities, information overload is increasing and quality of readily available online content is deterioratin...
Saurav Sahay
WEBI
2009
Springer
14 years 2 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
SIGIR
2009
ACM
14 years 2 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra