Webpage Recommendation for Organization Users via Collaborative Page Weight

Laxmi Rajani, Urjita Thakar
2021 Journal of scientific research  
Webpage Ranking is commonly used to cater the most relevant webpages to web-users for the given query. Traditional page ranking algorithms generate generic ranking for all users which may not result in most suitable ranking for different individual users. In this paper, a novel method is presented to make more personalized and effective web page recommendations. It uses Cumulative Page Weight (CPweight) by adding Google's PageRank, average Visit Count and average dwell time of organization's
more » ... rs. It is observed that more than 90 percent recommendations are matching to the user's requirements and effective as compare to the conventional approaches.
doi:10.37398/jsr.2021.650129 fatcat:cndbielvzbf53az6ssrlcvdgq4