Exploiting Extended Search Sessions for Recommending Search Experiences in the Social Web

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Title: Exploiting Extended Search Sessions for Recommending Search Experiences in the Social Web
Authors: Saaya, Zurina
Schaal, Markus
Coyle, Maurice
Briggs, Peter
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/4351
Date: 3-Sep-2012
Abstract: HeyStaks is a case-based social search system that allows users to create and share case bases of search experiences (called staks) and uses these staks as the basis for result recommendations at search time. These recommendations are added to conventional results from Google and Bing so that searchers can benefit from more focused results from people they trust on topics that matter to them. An important point of friction in HeyStaks is the need for searchers to select their search context (that is, their active stak) at search time. In this paper we extend previous work that attempts to eliminate this friction by automatically recommending an active stak based on the searchers context (query terms, Google results, etc.) and demonstrate significant improvements in stak recommendation accuracy.
Type of material: Conference Publication
Publisher: Springer Berlin Heidelberg
Copyright (published version): 2012 Springer-Verlag Berlin Heidelberg
Keywords: Social search;Community recommendation
DOI: 10.1007/978-3-642-32986-9_28
Language: en
Status of Item: Not peer reviewed
Is part of: Díaz Agudo, Belén, Watson, Ian (eds.). Case-Based Reasoning Research and Development : 20th International Conference, ICCBR 2012, Lyon, France, September 3-6, 2012. Proceedings
Conference Details: 20th International Conference, ICCBR 2012, Lyon, France, September 3-6, 2012.
Appears in Collections:Computer Science Research Collection

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