Community and Collaboration
Wednesday 30 July, 11:00 - 12:30Chair: Liliana Ardissono
(Web Search)shared - a Social Aspects of a Collaborative, Community-Based Search Network (page 103)Maurice Coyle and Barry Smyth
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 personalize result-lists to reflect the preferences of the community as a whole. In this paper, we present the results of a recent live-user trial which demonstrates how CWS elicits high levels of participation and how the search activities of a community of related users form a type of social search network.
Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing (page 123)Styliani Kleanthous and Vania Dimitrova
Some of today's most widely spread applications are social systems where people can form communities and share knowledge. However, knowledge sharing is not always effective and communities often do not sustain. Can user modelling approaches help to identify what support could be offered and how this would benefit the community? The paper presents algorithms for extracting a model of a closely-knit virtual community following processes identified as important for effective communities. The algorithms are applied to get an insight of a real virtual community and to identify what support may be needed to help the community function better as an entity.
Social Information Access for the Rest of Us: An Exploration of Social YouTube (page 93)Maurice Coyle, Jill Freyne, Peter Brusilovsky, and Barry Smyth
The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferences and access patterns recent technologies make it possible to model user information needs and adapt services to meet these needs. In previous work we have presented ASSIST, a general-purpose platform which incorporates various types of social support into existing information access systems and reported on our deployment experience in a highly goal driven environment (ACM Digital Library). In this work we present our experiences in applying ASSIST to a domain where goals are less focused and where casual exploration is more dominant; YouTube. We present a general study of YouTube access patterns and detail how the ASSIST architecture affected the access patterns of users in this domain.
Adaptive Hypermedia 2008 Conference Website
(L3S Research Center, Hannover, Germany)