We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as s...
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user ...
Many users have acquired a sophisticated understanding of searching the Web in specific domains. For example, we often hear of users who can get amazing deals for electronic produ...
In Web 2.0, users have generated and shared massive amounts of resources in various media formats, such as news, blogs, audios, photos and videos. The abundance and diversity of t...
Chen Liu, Beng Chin Ooi, Anthony K. H. Tung, Dongx...