Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Extracting content structure for web pages based on visual representation
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
My portal viewer: integration system based on user preferences for news web sites
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
Proposal of impression mining from news articles
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Design of impression scales for assessing impressions of news articles
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
A retrieval method adaptively reducing user's subjective impression gap
Multimedia Tools and Applications
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We have developed an application called My Portal Viewer (MPV) [1] that effectively integrates many articles collected from multiple news sites and presents these integrations through a familiar interface such as a page the user has often visited. MPV dynamically determines keywords of interest that a user might potentially be interested in based on the history of the articles the user has read and creates categories based on these interest words. MPV and many other similar integration systems, however, cause problems where users cannot find only their interest articles in each category because they are only ranked by frequency and the cooccurrence of keywords. We propose a new method of selecting further articles from each category using a user's impressions of articles. The improved MPV, called MPV Plus, selects and recommends more desirable articles using the method we propose. This paper presents the design concept and process flow of MPV Plus and reports on its effectiveness as evaluated in experiments.