Personalized Web Page Recommendation Based on Preference Footprint to Browsed Pages

Kenta SERIZAWA  Sayaka KAMEI  Syuhei HAYASHI  Satoshi FUJITA  

IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.11   pp.2705-2715
Publication Date: 2016/11/01
Publicized: 2016/08/08
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDP7134
Type of Manuscript: PAPER
Category: Data Engineering, Web Information Systems
personalization,  information filtering,  web search,  relations among words,  user profile,  

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In this paper, a new scheme for personalized web page recommendation using multi-user search engine query information is proposed. Our contribution is a scheme that improves the accuracy of personalization for various types of contents (e.g., documents, images and music) without increasing user burden. The proposed scheme combines “preference footprints” for browsed pages with collaborative filtering. We acquire user interest using words that are relevant to queries submitted by users, attach all user interests to a page as a footprint when it is browsed, and evaluate the relevance of web pages in relation to words in footprints. The performance of the scheme is evaluated experimentally. The results indicate that the proposed scheme improves the precision and recall of previous schemes by 1%-24% and 80%-107%, respectively.