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...
Information on Web2.0, generated by users of web based services, is both difficult to organize and organic in nature. Content categorization and search in such situation offers cha...
Mohammad Nauman, Shahbaz Khan 0003, Muhammad Amin,...
We propose a distributed mechanism for finding websurfing strategies that is inspired by the StumbleUpon recommendation engine. Each day, a websurfer visits a sequence of websites ...
Prototyping and evaluation combine to explore ways that an effective, integrative organization of project-related information might emerge as a by-product of a person's effor...
William Jones, Predrag V. Klasnja, Andrea Civan, M...
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...