ITH - Centrum för studier av IT ur ett
humanvetenskapligt perspektiv och
Center for Collaborative Innovation vid Högskolan i Borås
Anushia Inthiran, Saadat M. Alhashmi & Pervaiz K. Ahmed
Collaborative Personalization Strategies for Web Search
Affiliation: Monash University Sunway
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Keywords: collaborative personalization, evolution of features, feedback setting, information retrieval, search process
Information retrieval is not about providing users with multiple pages of results but providing users with relevant results. Relevant results can only be provided if search engine strategies are able to discern a user’s information need. Collaborative personalization is an information retrieval strategy designed to provide users with relevant results. In this paper, we introduce the personalization process and review collaborative personalization features used in three feedback settings. We focus on the evolution of the following core features in collaborative personalization systems: group size, membership type, personalization technique, trust and privacy within each feedback setting. Finally, we conclude the paper by providing ideas for future development of personalization system.
The article may be referenced as
Inthiran, Anushia, Saadat M. Alhashmi & Pervaiz K. Ahmed (2012).
“Collaborative Personalization Strategies for Web Search.”
11.3: 57–82. <http://www.hb.se/bhs/ith/3-11/aisapa.pdf>