Abstract. Collaborative Web Search (CWS) proposes a case-based approach to personalizing search results for the needs of a community of like-minded searchers. The search activities...
While web search tasks are often inherently collaborative in nature, many search engines do not explicitly support collaboration during search. In this paper, we describe HeyStaks...
Kevin KcNally, Michael P. O'Mahony, Barry Smyth, M...
The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. ...
Gerhard Weikum, Jens Graupmann, Ralf Schenkel, Mar...
Abstract. Collaborative Web search (CWS) is a community-based approach to Web search that supports the sharing of past result selections among a group of related searchers so as to...
—Recently researchers have argued that the prevailing view of Web search, as a solitary activity, is flawed: that, in reality, Web search can be an inherently collaborative task...
Groups of users often have shared information needs – for example, business colleagues need to conduct research relating to joint projects and students must work together on gro...
Meredith Ringel Morris, Jarrod Lombardo, Daniel Wi...
Web search is often viewed as a solitary task; however, there are many situations in which groups of people gather around a single computer to jointly search for information onlin...
Making sense of the information found during an investigational Web search task can be daunting. With the recent emergence of tools to support collaborative Web search, the associ...
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...