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» Positional language models for information retrieval
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CIKM
2005
Springer
15 years 3 months ago
Using appraisal groups for sentiment analysis
Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
Casey Whitelaw, Navendu Garg, Shlomo Argamon
UM
2005
Springer
15 years 3 months ago
Motion-Based Adaptation of Information Services for Mobile Users
Adaptive information systems typically exploit knowledge about the user’s interests, preferences, goals etc. to determine what should be presented to the user and how this presen...
Mathias Bauer, Matthieu Deru
ECIR
2007
Springer
14 years 11 months ago
Probabilistic Models for Expert Finding
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilis...
Hui Fang, ChengXiang Zhai
EMNLP
2006
14 years 11 months ago
Relevance Feedback Models for Recommendation
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...
Masao Utiyama, Mikio Yamamoto
COLT
1989
Springer
15 years 1 months ago
Learning in the Presence of Inaccurate Information
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...
Mark A. Fulk, Sanjay Jain