By Topic

The study in ranking method for web entity

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Peng Li ; Information technology college, Eastern Liaoning University, DanDong, 118001, China

Along with the rapidly development of the information retrieval and web technology, web entity retrieval has become a new popular way for getting specific information, such as looking for a book or a movie. Like document retrieval, generally there are too many results returned for a query, so ranking is still a necessary step during the entity retrieval process. This paper will focus on the ranking problem for web entity. Two methods are proposed, the first one will rank the results by a relevance score directly and the second one get the final ranking list by a training model. To compare the effective of the two methods, by the same features, we perform related experiments. According to the test data from real web pages, we test the precise of each method and get the conclusion at last.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on  (Volume:4 )

Date of Conference:

10-12 Aug. 2010