Séminaires RALI-OLST

Exploring Categorization Property of Social Annotations for Information Retrieval

Peng Li (lipeng <at> iro (point) umontreal (point) ca)

RALI, DIRO et Institute of Computing Technology (China)

Wednesday 12 September 2012 at 11:30 AM

Salle 3195, Pavillon André-Aisenstadt


User generated social annotations provide extra information for describing document contents. In this talk, we propose an effective method to model the categorization property of social annotations and explore the potential of combining it with classical language models for improving retrieval performance. Specifically, a new model based on LDA is presented to take annotations as an additional source for generating document contents apart from the document itself.

We describe strategies for representing and weighting the categorization property and develop an efficient inference algorithm. Experiments are carried out on a TREC collection using annotations collected from Delicious.com. Our results demonstrate the usefulness of social annotations for IR.


Follow this link to subscribe to future RALI-OLST announcements.
http://rali.iro.umontreal.ca/rali/?q=fr/node/1631

See all the weekly talks for the year:

1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024