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ICML
1995
IEEE
15 years 10 months ago
Learning Collection FUsion Strategies for Information Retrieval
In this paper we describe an Information Retrieval problem called collection fusion. The collection fusion problem is to maximize the number of relevant natural language documents...
Geoffrey G. Towell, Ellen M. Voorhees, Narendra Ku...
DELOS
2001
15 years 7 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
IADIS
2003
15 years 7 months ago
A Scalable Distributed Search Engine for Fresh Information Retrieval
We have developed a distributed search engine, Cooperative Search Engine (CSE) to retrieve fresh information. In CSE, a local search engine located in each web server makes an ind...
Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai
ANLP
2000
123views more  ANLP 2000»
15 years 7 months ago
Word Sense Disambiguation for Cross-Language Information Retrieval
We have developed a word sense disambiguation algorithm, following Cheng and Wilensky (1997), to disambiguate among WordNet synsets. This algorithm is to be used in a cross-langua...
Xiaoyong Liu, Ted Diamond, Anne Diekema
CIKM
2009
Springer
16 years 1 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