Authors:
Hadas Weinberger
;
Oleg Guzikov
and
Keren Raby
Affiliation:
HIT - Holon Institute of Technology, Israel
Keyword(s):
Adaptive Systems, Context, HCI, Search Engine, Recommender System, User Model, Web 2.0, Semantic Web.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Human-Computer Interaction
;
Internet HCI: Web Interfaces and Usability
;
User Needs
Abstract:
There are several reasons for developing a context-aware search interface. In so far, search engines considered the technology perspective – suggesting structural, statistical, syntactical and semantic measures. What is yet missing in Web search processes is the inclusion of the user model. The prevailing situation is a usability hurdle. While there is a wealth of information about search engines, what is yet lacking is a recommender system. Such as could be provided by a set of adequate principles and techniques, as basis for the design of a Web-base interface guiding users towards efficient and effective utilization of the spectrum of search engines available on the Web. The research reported here takes a step towards this goal, suggesting context-aware search architecture (namely, CASA) aiming towards: 1) the analysis of query elements, 2) guiding the process of query modification, and 3) recommending the personalized use of search engines. A use case illustrates the need for the
suggested framework and a prototype Web interface is introduced. We discuss preliminary findings from empirical research conducted with several classes of students in two distinct academic institutes in two different countries, which concerns the feasibility and usefulness of the suggested framework. We conclude with recommendations for further research.
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