Recent research has highlighted the inherently collaborative nature of many Web search tasks, even though collaborative
searching is not supported by mainstream search engines. In this paper, we examine the activity of ...
Often today’s recommender systems look to past user activity in order to influence future recommendations. In the case of social web search, employing collaborative recommendation techniques allows for personalization of ...
Employing collaborative recommendation techniques allows for personalization of search results in social web search. If recommendations arise from past user activity, the expertise of those users driving the recommendation ...
For the main part, when it comes to questions of retrieval, the focus of CBR research has been on the retrieval of cases from a repository of experience knowledge or case base. In this paper we consider a complementary ...
In this paper we focus on a multi-case case-based reasoning system to support users during collaborative search tasks. In particular we describe how repositories of search experiences/knowledge can be recommended to users ...
In this paper we describe the results of a live-user study to demonstrate the benefits of using the social search utility HeyStaks, a novel approach to Web search that combines ideas from personalization and social networking ...
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 (www.heystaks.com), a system that provides ...