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» Graded-Inclusion-Based Information Retrieval Systems
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ACSC
2006
IEEE
14 years 4 months ago
A semantic approach to boost passage retrieval effectiveness for question answering
In the current state of the rapid growth of information resources and the huge number of requests submitted by users to existing information retrieval systems; recently, Question ...
Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh
SIGIR
2009
ACM
14 years 4 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
WWW
2011
ACM
13 years 5 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
ICTIR
2009
Springer
14 years 4 months ago
Modeling Expected Utility of Multi-session Information Distillation
Abstract. An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple ...
Yiming Yang, Abhimanyu Lad
ACL
2006
13 years 11 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone