Improve Web Search Diversification with Intent Subtopic Mining

Author:

Damien Aymeric,Zhang Min,Liu Yiqun,Ma Shaoping

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Zhai, C.X., Cohen, W.W., Lafferty, J.D.: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. In: SIGIR, pp. 10–17 (2003)

2. Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: SIGIR 1998: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, NY, USA, pp. 335–336 (1998)

3. Ziegler, C.-N., McNee, S.M., Konstan, J.A., Lausen, G.: Improving recommendation lists through topic diversification. In: WWW 2005: Proceedings of the 14th International Conference on World Wide Web, pp. 22–32. ACM, New York (2005)

4. Yu, C., Lakshmanan, L., Amer-Yahia, S.: It takes variety to make a world: diversification in recommender systems. In: EDBT 2009: Proceedings of the 12th International Conference on Extending Database Technology, pp. 368–378. ACM, New York (2009)

5. Agrawal, R., Gollapudi, S., Halverson, A., Ieong, S.: Diversifying search results. In: WSDM 2009: Proceedings of the Second ACM International Conference on Web Search and Data Mining, pp. 5–14. ACM, New York (2009)

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