We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
In this paper, we describe our experiments of search task for TRECVID 2007. This year we participated in the automatic video search subtask, and submitted six runs with different ...
Shikui Wei, Yao Zhao, Zhenfeng Zhu, Nan Liu, Yufen...
: The main contribution of this paper is a novel approach for fast searching in huge structural databases like the PDB. The data structure is based on an adaption of the generalize...
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
We are developing a grid information service, RGIS, that is based on the relational data model. RGIS supports complex queries written in SQL that search for compositions (using jo...