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 poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document cont...
When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews ...
Abstract: In this paper, we revisit our approach to construction of semanticlinguistic Feature Vectors (FVs) used to enhance Web search. These FVs are built based on domain semanti...
The World-Wide Web is developing very fast. Currently, nding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps user...