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User profiling and personalized information delivery on the static and mobile web

Published: 02 November 2009 Publication History

Abstract

Imagine a system that can push highly selective information right to our hands when and only when we need it. This requires a mind-reading machine, but unfortunately we don't have one --- yet. User profiling attempts to estimate what is most important to a user at a particular point in time and space. In this talk, I will start with simple raw data such as the users' queries and clicks on the web and places they have visited to estimate what they might be interested in. We further divide user interests into content-based and location-based. We discuss issues involving the transformation of raw activities to conceptual needs, identifying user groups for collaborative filtering and the roles of locations in personalized information delivery.

References

[1]
D. L. Lee. To find or to be found, that is the question in mobile information retrieval. In Proceedings of the SIGIR 2008 Workshop on Mobile Information Retrieval (MobIR 2008), pages 7--10, July 2008.
[2]
K. W.-T. Leung, W. Ng, and D. L. Lee. Personalized concept-based clustering of search engine queries. IEEE Transactions on Knowledge and Data Engineering, pages 1505--1518, Nov 2008.

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  • (2018)Web Application for User ProfilingInternational Journal of Information Systems in the Service Sector10.4018/IJISSS.20160401048:2(44-56)Online publication date: 13-Dec-2018

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Published In

cover image ACM Conferences
WIDM '09: Proceedings of the eleventh international workshop on Web information and data management
November 2009
104 pages
ISBN:9781605588087
DOI:10.1145/1651587

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2009

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Author Tags

  1. clickthrough
  2. query clustering
  3. user clustering
  4. user profiling

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  • (2018)Web Application for User ProfilingInternational Journal of Information Systems in the Service Sector10.4018/IJISSS.20160401048:2(44-56)Online publication date: 13-Dec-2018

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