This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
As the social interaction of Internet users increases, so does the need to effectively rank social media. We study the challenges of personalized ranking of blog posts. Web search...
Hassan Sayyadi, John Edmonds, Vagelis Hristidis, L...
This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be se...
The proliferation of different kinds of mobile devices, ranging from personal wireless devices, such as PDAs and smart phones, to small notebooks, is enabling ubiquitous personal ...
Gerardo Canfora, Giuseppe Di Santo, Gabriele Ventu...
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...