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» Inferring user intent in web search by exploiting social ann...
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WWW
2009
ACM
14 years 5 months ago
Search result re-ranking based on gap between search queries and social tags
Both search engine click-through log and social annotation have been utilized as user feedback for search result re-ranking. However, to our best knowledge, no previous study has ...
Jun Yan, Ning Liu, Elaine Qing Chang, Lei Ji, Zhen...
SIGIR
2010
ACM
13 years 8 months ago
Ready to buy or just browsing?: detecting web searcher goals from interaction data
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein
UMUAI
2008
144views more  UMUAI 2008»
13 years 4 months ago
Tag-based user modeling for social multi-device adaptive guides
This paper aims to demonstrate that the principles of adaptation and user modeling, especially social annotation, can be integrated fruitfully with those of the Web 2.0 paradigm a...
Francesca Carmagnola, Federica Cena, Luca Console,...
AAAI
2012
11 years 7 months ago
Improving Twitter Retrieval by Exploiting Structural Information
Most Twitter search systems generally treat a tweet as a plain text when modeling relevance. However, a series of conventions allows users to tweet in structural ways using combin...
Zhunchen Luo, Miles Osborne, Sasa Petrovic, Ting W...
WWW
2008
ACM
14 years 5 months ago
On the Effect of Group Structures on Ranking Strategies in Folksonomies
Folksonomies have shown interesting potential for improving information discovery and exploration. Recent folksonomy systems investigate on the use of tag assignments, which combi...
Fabian Abel, Nicola Henze, Daniel Krause, Matthias...