In this paper, we investigate the exploitation of user profiles defined in social tagging services to personalize Web search. One of the key challenges of a personalization framewo...
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
In this paper we propose a completely unsupervised method for open-domain entity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mi...
This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adapti...
In this paper we propose semantic web-based mobile knowledge searching systems for display Web pages on mobile terminals. The proposed system reduces the time of verification when ...