Implicit Feedback Mechanism to Manage User Profile Applied in Vietnamese News Recommender System

The appearance of a vast array of online newspapers makes appropriate news recommendation for users become critically important. A number of researches in this area have been conducted in recent years. This paper presents the Vietnamese content-based news recommender system. Based on information about news stories that users have read and given feedback, the system can automatically determine news stories that users may want to read later. The center of the system is a hybrid user profile which can diversely model news reading features of individual users thanks to a combination of short-term and long-term information models along with self-description. The paper also introduces and evaluates a mechanism for implicit feedback. After installing the system and conducting several experiments, as well as collecting feedback from users, it is shown that the system is relatively adaptable to users and can recommend appropriate news with a high degree of accuracy, which significantly increases the effectiveness of gathering information compared to traditional news reading.

[1]  Yoav Shoham,et al.  Learning to surf: multiagent systems for adaptive web page recommendation , 1998 .

[2]  Gerald Salton,et al.  Automatic text processing , 1988 .

[3]  Michael J. Pazzani,et al.  Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.

[4]  Hô Tuòng Vinh,et al.  A Hybrid Approach to Word Segmentation of Vietnamese Texts , 2008, LATA.

[5]  Yoav Shoham,et al.  Fab: content-based, collaborative recommendation , 1997, CACM.

[6]  Pattie Maes,et al.  Evolving agents for personalized information filtering , 1993, Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications.

[7]  Mark Rosenstein,et al.  Recommending and evaluating choices in a virtual community of use , 1995, CHI '95.

[8]  Peretz Shoval,et al.  Information Filtering: Overview of Issues, Research and Systems , 2001, User Modeling and User-Adapted Interaction.

[9]  Nicholas J. Belkin,et al.  Information filtering and information retrieval: two sides of the same coin? , 1992, CACM.

[10]  Gerard Salton,et al.  The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .

[11]  Ken Lang,et al.  NewsWeeder: Learning to Filter Netnews , 1995, ICML.

[12]  Michael J. Pazzani,et al.  User Modeling for Adaptive News Access , 2000, User Modeling and User-Adapted Interaction.

[13]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[14]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[15]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.