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» Fuzzy Ranking Model Based on User Preference
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144
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CIKM
2010
Springer
15 years 2 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
230
Voted
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
16 years 3 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish
100
Voted
IVA
2007
Springer
15 years 9 months ago
Fuzzy Similarity of Facial Expressions of Embodied Agents
Abstract. In this paper we propose an algorithm based on fuzzy similarity which models the concept of resemblance between facial expressions of an Embodied Conversational Agent. In...
Radoslaw Niewiadomski, Catherine Pelachaud
117
Voted
EWCBR
2006
Springer
15 years 7 months ago
What Evaluation Criteria Are Right for CCBR? Considering Rank Quality
Abstract. Evaluation criteria for conversational CBR (CCBR) systems are important to guide development and tuning of new methods, and to enable practitioners to make informed decis...
Steven Bogaerts, David B. Leake
149
Voted
ACMSE
2010
ACM
15 years 1 months ago
Mobile web search personalization using ontological user profile
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...