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» Implicit Queries for Email
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ACL
2006
13 years 9 months ago
An Iterative Implicit Feedback Approach to Personalized Search
General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It c...
Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wa...
FLAIRS
2006
13 years 9 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
WWW
2006
ACM
14 years 9 months ago
A comparison of implicit and explicit links for web page classification
It is well known that Web-page classification can be enhanced by using hyperlinks that provide linkages between Web pages. However, in the Web space, hyperlinks are usually sparse...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
CEAS
2005
Springer
14 years 1 months ago
Good Word Attacks on Statistical Spam Filters
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
Daniel Lowd, Christopher Meek
CEAS
2004
Springer
14 years 1 months ago
Personalised, Collaborative Spam Filtering
The state of the art sees content-based filters tending towards collaborative filters, whereby email is filtered at the MTA with users feeding information back about false posit...
Alan Gray, Mads Haahr