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

Autor:	Barry Smyth, Peter Briggs, Maurice Coyle, Markus Schaal, Zurina Saaya
Rok vydání:	2012
Předmět:	World Wide Web Social search Information retrieval Point (typography) Computer science Context (language use) Social web
Zdroj:	Case-Based Reasoning Research and Development ISBN: 9783642329852 ICCBR
DOI:	10.1007/978-3-642-32986-9_28
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::370afcd8df5af0f0c0304f5fe164f13a https://doi.org/10.1007/978-3-642-32986-9_28 Zobrazit plný text záznamu