Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Topical web crawlers: Evaluating adaptive algorithms
ACM Transactions on Internet Technology (TOIT)
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
The microstructures of social tagging: a rational model
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Signpost from the masses: learning effects in an exploratory social tag search browser
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using twitter to recommend real-time topical news
Proceedings of the third ACM conference on Recommender systems
Supporting exploratory information seeking by epistemology-based social search
Proceedings of the 15th international conference on Intelligent user interfaces
Real time search user behavior
CHI '10 Extended Abstracts on Human Factors in Computing Systems
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
#TwitterSearch: a comparison of microblog search and web search
Proceedings of the fourth ACM international conference on Web search and data mining
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Exponential growth of user-generated content (UGC) on the Web demands an effective way for information consumers to acquire what they need. Specialized UGC search services outperform general-purpose search engines that usually have difficulties retrieving UGC or rank them low. However, with existing UGC search services, consumers may only be able to acquire information that is related to their needs rather than the exact information what they want. In this paper, we present a novel consumer-led interactive search approach that can help consumers acquire the information they exactly want through a consumer-led interactive search process where invited information providers jointly create such information on the fly. This approach has been implemented in a prototype system, which uses an epistemology structure to represent a consumer's information needs and lead an interactive search process. Preliminary user feedback has shown that this approach is particularly effective for a consumer to acquire a structured knowledge unit consisting of diverse but coherent information.