Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Web search engines discover indexable documents by recursively ‘crawling’ from a seed URL. Their rankings take into account link popularity. While this works well, it introduc...
Tom Rowlands, David Hawking, Ramesh Sankaranarayan...
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Personalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and thei...
Jingjing Liu, Michael J. Cole, Chang Liu, Ralf Bie...