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CIKM
2001
Springer
13 years 9 months ago
Model-based Feedback in the Language Modeling Approach to Information Retrieval
The language modeling approach to retrieval has been shown to perform well empirically. One advantage of this new approach is its statistical foundations. However, feedback, as on...
ChengXiang Zhai, John D. Lafferty
SIGIR
2010
ACM
13 years 8 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai
CIKM
2009
Springer
13 years 11 months ago
A query model based on normalized log-likelihood
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
DELOS
2001
13 years 5 months ago
Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback i...
Djoerd Hiemstra, Stephen E. Robertson
CIKM
2009
Springer
13 years 11 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai