To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Query-based web search is an integral part of many people’s daily activities. Most do not realize that their search history can be used to identify them (and their interests). I...
Local aspects of Web search -- associating Web content and queries with geography -- is a topic of growing interest. However, the underlying question of how spatial variation is m...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar, Jasm...
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...