In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
The analysis of the leading social video sharing platform YouTube reveals a high amount of redundancy, in the form of videos with overlapping or duplicated content. In this paper,...
We study the problem of automatically identifying“hotspots” on the real-time web. Concretely, we propose to identify highly-dynamic ad-hoc collections of users – what we ref...
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,...
: This talk describes a research project exploring new ways for augmenting search using multiple types and sources of social information. Our goal is to allow searching for all obj...
Einat Amitay, David Carmel, Nadav Har'El, Shila Of...