Dynamic Information Presentation through Web-based Personalisation and Adaptation - An Initial Review

Personalisation and adaptation of information and information presentation to reflect user needs and interests is an area in which there is considerable interest. DIP, Dynamic Information Presentation, is a research project that focuses on problems in this area. As part of this research a review has been conducted of existing Web-based information applications from a variety of domains that use such techniques, and a set of dimensions proposed as a basis for analysing andcomparing them. The applications fall naturally into three categories. The results provide a useful step towards a general framework for classifying these approaches.

[1]  Alison Cawsey,et al.  Explanation and interaction - the computer generation of explanatory dialogues , 1992, ACL-MIT press series in natural language processing.

[2]  Johan Bollen.  Group User Models for Personalized Hyperlink Recommendations , 2000, AH.

[3]  Thomas Rist,et al.  A standard reference model for intelligent multimedia presentation systems , 1997, Comput. Stand. Interfaces.

[4]  Liliana Ardissono,et al.  Tailoring the interaction with users in electronic shops , 1999 .

[5]  James McKee,et al.  Towards Zero-Input Personalization: Referrer-Based Page Prediction , 2000, AH.

[6]  Keith G. Jeffery,et al.  Presenting dynamically expandable hypermedia , 1995, Inf. Softw. Technol..

[7]  Tanja Joerding.  Temporary user modeling for adaptive product presentations in the Web , 1999 .

[8]  MladenicDunja.  Text-Learning and Related Intelligent Agents , 1999 .

[9]  Tomonari Kamba,et al.  ANATAGONOMY: a personalized newspaper on the World Wide Web , 1997, Int. J. Hum. Comput. Stud..

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

[11]  Yoav Shoham,et al.  Content-Based, Collaborative Recommendation. , 1997 .

[12]  Michael D. Wilson,et al.  Describing the MIPS multimedia presentation system with the IMMPS reference model , 1997, Comput. Stand. Interfaces.

[13]  Udi Manber,et al.  Experience with personalization of Yahoo! , 2000, CACM.

[14]  Dunja Mladenic,et al.  Text-learning and related intelligent agents: a survey , 1999, IEEE Intell. Syst..

[15]  Barry Smyth,et al.  A personalized television listings service , 2000, CACM.

[16]  D S Bental,et al.  Patient information systems that tailor to the individual. , 1999, Patient education and counseling.

[17]  Bradley N. Miller,et al.  GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.

[18]  Henry Lieberman,et al.  Autonomous interface agents , 1997, CHI.

[19]  Alessandro Micarelli,et al.  A Hybrid Architecture for User-Adapted Information Filtering on the World Wide Web , 1997 .

[20]  Alison Cawsey,et al.  Adapting Web-Based Information to the Needs of Patients with Cancer , 2000, AH.

[21]  Keith Cheverst,et al.  Providing Tailored (Context-Aware) Information to City Visitors , 2000, AH.

[22]  Nahid Shahmehri,et al.  Web Assistants : Towards an Intelligent and Personal Web Shop , 1999, WWW 1999.

[23]  Lachlan Mhor MacKinnon,et al.  User Modelling for Information Retrieval from Multidatabases , 1999 .

[24]  Barry Smyth,et al.  Case-Based User Profiling for Content Personalisation , 2000, AH.

[25]  Paul P. Maglio,et al.  LiveInfo: Adapting Web Experience by Customization and Annotation , 2000, AH.

[26]  Jesus Boticario,et al.  Adaptive Navigation Support and Adaptive Collaboration Support in WebDL , 2000, AH.

[27]  Paul P. Maglio,et al.  Intermediaries personalize information streams , 2000, CACM.

[28]  Bart Selman,et al.  Referral Web: combining social networks and collaborative filtering , 1997, CACM.

[29]  James Rucker,et al.  Siteseer: personalized navigation for the Web , 1997, CACM.