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Personalized Web Search

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Synonyms

Personalized search

Definition

For a given query, a personalized Web search can provide different search results for different users or organize search results differently for each user, based upon their interests, preferences, and information needs. Personalized web search differs from generic web search, which returns identical research results to all users for identical queries, regardless of varied user interests and information needs.

Historical Background

Web search engines have made enormous contributions to the web and society. They make finding information on the web quick and easy. However, they are far from optimal. A major deficiency of generic search engines is that they follow the “one size fits all” model and are not adaptable to individual users. This is typically shown in cases such as these:

  1. 1.

    Different users have different backgrounds and interests. They may have completely different information needs and goals when providing exactly the same query. For...

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Recommended Reading

  1. Chirita PA, Nejdl W, Paiu R, Kohlschütter C. Using ODP metadata to personalize search. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2008. p. 178–85.

    Google Scholar 

  2. Chirita PA, Firan C, Nejdl W. Summarizing local context to personalize global web search. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management; 2006.

    Google Scholar 

  3. Dou Z, Song R, Wen J. A large-scale evaluation and analysis of personalized search strategies. In: Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2010.

    Google Scholar 

  4. Haveliwala TH. Topic-sensitive PageRank. In: Proceedings of the 11th International World Wide Web Conference; 2002.

    Google Scholar 

  5. Jeh G, Widom J. Scaling personalized web search. In: Proceedings of the 12th International World Wide Web Conference; 2003. p. 271–79.

    Google Scholar 

  6. Liu F, Yu C, Meng W. Personalized web search by mapping user queries to categories. In: Proceedings of the 11th International Conference on Information and Knowledge Management; 2002. p. 558–65.

    Google Scholar 

  7. Page L, Brin S, Motwani R, Winograd T. The PageRank citation ranking: bringing order to the web. Technical report, Computer Science Department, Stanford University. 1998.

    Google Scholar 

  8. Pretschner A, Gauch S. Ontology based personalized search. In: Proceedings of the 11th IEEE International Conference on Tools with AI; 1999. p. 391–98.

    Google Scholar 

  9. Qiu F, Cho J. Automatic identification of user interest for personalized search. In: Proceedings of the 15th International World Wide Web Conference; 2006. p. 727–36.

    Google Scholar 

  10. Shen X, Tan B, Zhai C. Implicit user modeling for personalized search. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management; 2005. p. 824–31.

    Google Scholar 

  11. Shen X, Tan B, Zhai C. Privacy protection in personalized search. SIGIR Forum. 2007;41(1):4–17.

    Article  Google Scholar 

  12. Smyth B, Coyle M, Boydell O, Briggs P, Balfe E, Freyne J, Bradley K. A live-user evaluation of collaborative web search. In: Proceedings of the 19th International Joint Conference on AI; 2005.

    Google Scholar 

  13. Sugiyama K, Hatano K, Yoshikawa M. Adaptive web search based on user profile constructed without any effort from users. In: Proceedings of 12th International World Wide Web Conference; 2003. p. 675–84.

    Google Scholar 

  14. Sun J-T, Zeng H-J, Liu H, Lu Y, Chen Z. CubeSVD: a novel approach to personalized web search. In: Proceedings of the 14th International World Wide Web Conference; 2005. p. 382–90.

    Google Scholar 

  15. Teevan J, Dumais ST, Horvitz E. Personalizing search via automated analysis of interests and activities. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2008. p. 449–56.

    Google Scholar 

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Correspondence to Ji-Rong Wen .

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Wen, JR., Dou, Z., Song, R. (2018). Personalized Web Search. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_267

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