320 research outputs found
Effective Personalized Web Mining by Utilizing The Most Utilized Data
Looking into the growth of information in the web it is a very tedious
process of getting the exact information the user is looking for. Many search
engines generate user profile related data listing. This paper involves one
such process where the rating is given to the link that the user is clicking
on. Rather than avoiding the uninterested links both interested links and the
uninterested links are listed. But sorted according to the weightings given to
each link by the number of visit made by the particular user and the amount of
time spent on the particular link.Comment: 9 pages, journal pape
Recommendations based on social links
The goal of this chapter is to give an overview of recent works on the development of social link-based recommender systems and to offer insights on related issues, as well as future directions for research. Among several kinds of social recommendations, this chapter focuses on recommendations, which are based on users’ self-defined (i.e., explicit) social links and suggest items, rather than people of interest. The chapter starts by reviewing the needs for social link-based recommendations and studies that explain the viability of social networks as useful information sources. Following that, the core part of the chapter dissects and examines modern research on social link-based recommendations along several dimensions. It concludes with a discussion of several important issues and future directions for social link-based recommendation research
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