User Modeling Combining Access Logs, Page Content and Semantics

Computer Science – Information Retrieval

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

1st International Workshop on Usage Analysis and the Web of Data (USEWOD2011) in the 20th International World Wide Web Confere

Scientific paper

The paper proposes an approach to modeling users of large Web sites based on combining different data sources: access logs and content of the accessed pages are combined with semantic information about the Web pages, the users and the accesses of the users to the Web site. The assumption is that we are dealing with a large Web site providing content to a large number of users accessing the site. The proposed approach represents each user by a set of features derived from the different data sources, where some feature values may be missing for some users. It further enables user modeling based on the provided characteristics of the targeted user subset. The approach is evaluated on real-world data where we compare performance of the automatic assignment of a user to a predefined user segment when different data sources are used to represent the users.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

User Modeling Combining Access Logs, Page Content and Semantics 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 User Modeling Combining Access Logs, Page Content and Semantics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and User Modeling Combining Access Logs, Page Content and Semantics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-571296

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.