mNIR: Diversifying Search Results Based on a Mixture of Novelty, Intention and Relevance-Reference-Cited by-同舟云学术

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mNIR: Diversifying Search Results Based on a Mixture of Novelty, Intention and Relevance

Published:2012 Issue: Volume: Page:594-608
ISSN:0302-9743
Container-title:Web Information Systems Engineering - WISE 2012
language:
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Author:

Hemayati Reza Taghizadeh,Dehkordi Laleh Jafarian,Meng Weiyi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-35063-4_43

Reference23 articles.

1. Agrawal, R., Gollapudi, S., Halverson, A., Ieong, S.: Diversifying search results. In: ACM Intl. Conf. on Web Search and Data Mining (2009)

2. Capannini, G., Nardini, F.M., Perego, R., Silvestri, F.: Efficient diversification of web search results. PVLDB 4(7) (April 2011)

3. Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: ACM SIGIR, pp. 335–336 (1998)

4. Chapelle, O., Ji, S., Liao, C., Velipasaoglu, E., Lai, L., Wu, S.: Intent-based diversification of web search results: metrics and algorithms. Information Retrieval Journal (2011)

5. Chen, H., Karger, D.R.: Less is more: probabilistic models for retrieving fewer relevant documents. In: ACM SIGIR, pp. 429–436 (2006)

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