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CIKM
2001
Springer
15 years 2 months ago
Evaluating Document Clustering for Interactive Information Retrieval
We consider the problem of organizing and browsing the top ranked portion of the documents returned by an information retrieval system. We study the effectiveness of a document o...
Anton Leuski
NIPS
2007
14 years 11 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
IPM
2008
113views more  IPM 2008»
14 years 9 months ago
Lexical cohesion and term proximity in document ranking
We demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships...
Olga Vechtomova, Murat Karamuftuoglu
64
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COLING
2010
14 years 4 months ago
A Comparative Study on Ranking and Selection Strategies for Multi-Document Summarization
This paper presents a comparative study on two key problems existing in extractive summarization: the ranking problem and the selection problem. To this end, we presented a system...
Feng Jin, Minlie Huang, Xiaoyan Zhu
SIGIR
1998
ACM
15 years 1 months ago
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
Jaime G. Carbonell, Jade Goldstein