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» Improving Case-Based Recommendations Using Implicit Feedback
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CIKM
2005
Springer
15 years 11 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
SIGIR
2005
ACM
15 years 11 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
15 years 12 months ago
Detecting Document Genre for Personalization of Information Retrieval
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
AUSAI
2007
Springer
15 years 9 months ago
Elements of a Learning Interface for Genre Qualified Search
Even prior to content, the genre of a web document leads to a first coarse binary classification of the recall space in relevant and non-relevant documents. Thinking of a genre se...
Andrea Stubbe, Christoph Ringlstetter, Randy Goebe...
WEBDB
2009
Springer
159views Database» more  WEBDB 2009»
16 years 12 days ago
Beyond the Stars: Improving Rating Predictions using Review Text Content
Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most revi...
Gayatree Ganu, Noemie Elhadad, Amélie Maria...