The Open UniversitySkip to content

The Document as ergodic markov chain

Song, Dawei and Hoenkamp, Eduard (2004). The Document as ergodic markov chain. In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR'2004), 25-29 Jul 2004, Sheffield, United Kingdom.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


In recent years, statistical language models are being proposed as alternative to the vector space model. Viewing documents as language samples introduces the issue of defining a joint probability distribution over the terms.The present paper models a document as the result of a Markov process. It argues that this process is ergodic, which is theoretically plausible, and easy to verify in practice.The theoretical result is that the joint distribution can be easily obtained. This can also be applied for search resolutions other than the document level. We verified this in an experiment on query expansion demonstrating both the validity and the practicability of the method. This holds a promise for general language models.

Item Type: Conference or Workshop Item
Keywords: ergodic process; language models; semantic space
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 9041
Depositing User: Aneta Tumilowicz
Date Deposited: 25 Sep 2007
Last Modified: 07 Dec 2018 09:06
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU