Loading [a11y]/accessibility-menu.js
Design a location-time based ethnic advertising recommendation system using degree of memberships | IEEE Conference Publication | IEEE Xplore

Design a location-time based ethnic advertising recommendation system using degree of memberships


Abstract:

Traditional recommendation systems are mostly based on similarity discrimination which requires sufficient data and recommends high correlated items. It becomes very diff...Show More

Abstract:

Traditional recommendation systems are mostly based on similarity discrimination which requires sufficient data and recommends high correlated items. It becomes very difficult to accurately recommend products when data are not enough. Thus, the research about Cold Start Problem becomes important which emphasizes in effective item recommendation when too little data are provided. In this work, we propose a novel method called Location-Time based Recommendation System (LTRS) to address the Cold Start Problem with location and time as the initial factors together with degree of membership from fuzzy theory to produce more effective and precise item recommendation. From experimental results, LTRS improves the effectiveness of item recommendation, not only in normal situations but also in Cold Start scenarios.
Date of Conference: 15-17 July 2012
Date Added to IEEE Xplore: 24 November 2012
ISBN Information:

ISSN Information:

Conference Location: Xi'an, China

Contact IEEE to Subscribe

References

References is not available for this document.