Probability Based Clustering for Document and User Properties

Details Probability Based Clustering for Document and User Properties Probability Based Clustering for Document and User Properties

2011-02-18

arxiv.org/abs/1102.3865v1

Computer Science

Human-Computer Interaction

In: Ojala, Timo (ed.): Infotech Oulo International Workshop on Information Retrieval (IR 2001). Oulo, Finnland. 19.- 21.9.2001

Scientific paper

Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic or fuzzy clusters for such features. The model is applied within a fusion method which linearly combines several retrieval systems. The fusion is based on weights for the different retrieval systems which are learned by exploiting relevance feedback information. This calculation can be improved by maintaining a model for each document and user cluster. That way, the optimal retrieval system for each document or user type can be identified and applied. The extension presented in this article allows overlapping, probabilistic clusters of features to further refine the process.

Affiliated with

Also associated with

No associations

Rating

Probability Based Clustering for Document and User Properties does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Probability Based Clustering for Document and User Properties, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Probability Based Clustering for Document and User Properties will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-213176