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» Predicting user interests from contextual information
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COLING
2010
13 years 3 months ago
Contextual Recommendation based on Text Mining
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobil...
Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Ba...
RIAO
2007
13 years 10 months ago
Contextual Search Using Ontology-Based User Profiles
Search engines, generally, return results without any regard for the concepts in which the user is interested. In this paper, we present our approach to personalizing search engin...
Vishnu Challam, Susan Gauch, Aravind Chandramouli
WEBI
2009
Springer
14 years 3 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
SOCIALCOM
2010
13 years 6 months ago
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
Retweeting is the key mechanism for information diffusion in Twitter. It emerged as a simple yet powerful way of disseminating information in the Twitter social network. Even thoug...
Bongwon Suh, Lichan Hong, Peter Pirolli, Ed H. Chi
ICDIM
2007
IEEE
14 years 2 months ago
Exploiting multi-evidence from multiple user's interests to personalizing information retrieval
The goal of personalization in information retrieval is to tailor the search engine results to the specific goals, preferences and general interests of the users. We propose a no...
Lynda Tamine-Lechani, Mohand Boughanem, Nesrine Ze...