Abstract:
The concept of Personalized Web Search is
commonly used for improving the quality of web search
results by identifying and facilitating different users’ search
needs. There are several techniques such as user profiling,
content analysis, hyperlink analysis and biased PageRank
algorithm that are used to achieve web personalization. User
Profiling is one of the widely used techniques for
personalizing web search at large scale. But it contains
several technical and ethical issues such as privacy violations,
inefficient use of computing resources as well. Collaborative
web search is also a kind of a relatively new concept which
defines the way of optimizing/personalizing search results by
using details of group of people and contributing the
knowledge of all of them about web search. This paper
presents the details of an alternative approach for
personalizing web results by using user profiling technique
with community cluster analysis of collaborative web search
by adapting concept of reusability among web results.
