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» Predicting user interests from contextual information
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RECSYS
2009
ACM
15 years 4 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
SIGIR
1999
ACM
15 years 2 months ago
From Reading to Retrieval: Freeform Ink Annotations as Queries
User interfaces for digital libraries tend to focus on retrieval: users retrieve documents online, but then print them out and work with them on paper. One reason for printing doc...
Gene Golovchinsky, Morgan N. Price, Bill N. Schili...
SIGIR
2009
ACM
15 years 4 months ago
Global ranking by exploiting user clicks
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...
Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-...
ICIW
2009
IEEE
15 years 4 months ago
Personalized News Search in WWW: Adapting on User's Behavior
— Personalized Web Search becomes nowadays a promising option in the field of Information Retrieval and search engines design by improving both output quality and user experience...
Christos Bouras, Vassilis Poulopoulos, Panagiotis ...
ICWSM
2010
14 years 11 months ago
Measuring User Influence in Twitter: The Million Follower Fallacy
Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links...
Meeyoung Cha, Hamed Haddadi, Fabrício Benev...