Items where Author is "Carman, Mark J."

Book Section

Harvey, Morgan, Crestani, Fabio and Carman, Mark J. (2013) Building user profiles from topic models for personalised search. In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, New York, pp. 2309-2314. ISBN 978-1-4503-2263-8

Harvey, Morgan, Carman, Mark J. and Elsweiler, David (2012) Comparing tweets and tags for URLs. In: Advances in Information Retrieval. Information Systems and Applications, incl. Internet/Web, and HCI (7224). Springer, London, pp. 73-84. ISBN 978-3-642-28996-5

Harvey, Morgan, Carman, Mark J., Ruthven, Ian and Crestani, Fabio (2011) Bayesian latent variable models for collaborative item rating prediction. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, New York, pp. 699-708. ISBN 978-1-4503-0717-8

Harvey, Morgan, Ruthven, Ian and Carman, Mark J. (2011) Improving social bookmark search using personalised latent variable language models. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, New York, pp. 485-494. ISBN 978-1-4503-0493-1

Harvey, Morgan, Ruthven, Ian and Carman, Mark J. (2010) Ranking social bookmarks using topic models. In: Proceedings of the 19th ACM international conference on Information and knowledge management. Association for Computing Machinery, New York, pp. 1401-1404. ISBN 978-1-4503-0099-5

Carman, Mark J., Crestani, Fabio, Harvey, Morgan and Baillie, Mark (2010) Towards query log based personalization using topic models. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, New York, pp. 1849-1852. ISBN 978-1-4503-0099-5

Harvey, Morgan, Baillie, Mark, Ruthven, Ian and Carman, Mark J. (2010) Tripartite hidden topic models for personalised tag suggestion. In: Advances in Information Retrieval. Lecture Notes in Computer Science, 5993 . Springer, London, pp. 432-443. ISBN 9783642122743