Group User Models for Personalized Hyperlink Recommendations

This paper presents a system that combines adaptive hypertext linking based on group link preferences with an implicit navigation-based mechanism for personalized link recommendations. A methodology using three Hebbian-style learning rules changes hyperlink weights according to users' overlapping navigation paths and causes a hypertext system's link structure to converge to a valid group user model. A spreading activation recommendation system generates navigation path based recommendations for individual users. Both systems are linked, thereby combining both personal user interests and established group link preferences. An on-line application for the Los Alamos National Laboratory Research Library is presented.

[1]  André Tricot,et al.  The validity of rational criteria for the interpretation of user-hypertext interaction , 1999, Interact. Comput..

[2]  Huberman,et al.  Strong regularities in world wide web surfing , 1998, Science.

[3]  Henry Lieberman,et al.  Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.

[4]  Geoffrey E. Hinton,et al.  Parallel Models of Associative Memory , 1989 .

[5]  D. O. Hebb,et al.  The organization of behavior , 1988 .

[6]  Maristella Agosti,et al.  Information Retrieval and Hypertext , 1996, Information Retrieval and Hypertext.

[7]  Johan Bollen,et al.  Biologically Motivated Distributed Designs for Adaptive Knowledge Management , 2000, ArXiv.

[8]  Michael D. Smith,et al.  Using Path Profiles to Predict HTTP Requests , 1998, Comput. Networks.

[9]  Gary Marchionini,et al.  Information Seeking in Electronic Environments , 1995 .

[10]  Ramana Rao,et al.  Silk from a sow's ear: extracting usable structures from the Web , 1996, CHI.

[11]  Julita Vassileva,et al.  Adaptive Hypertext and Hypermedia Systems , 1998 .

[12]  Peter Willett,et al.  The Representation and Comparison of Hypertext Structures using Graphs in Information Retrieval and , 1996 .

[13]  John R. Anderson.  A spreading activation theory of memory. , 1983 .

[14]  Johan Bollen,et al.  A system to restructure hypertext networks into valid user models , 1998, New Rev. Hypermedia Multim..

[15]  Thorsten Joachims,et al.  Web Watcher: A Tour Guide for the World Wide Web , 1997, IJCAI.

[16]  L. Segel,et al.  Design Principles for the Immune System and Other Distributed Autonomous Systems , 2001 .

[17]  Julita Vassileva,et al.  Adaptive Hypertext and Hypermedia , 1998, Springer Netherlands.

[18]  L. Miguel Encarnação.  Multi-level user support through adaptive hypermedia: a highly application-independent help component , 1997, IUI '97.

[19]  Johan Bollen,et al.  Mining Associative Relations from Website Logs and their Application to Context-Dependent Retrieval Using Spreading Activation , 1999, WOWS.