Webpage Recommendation for Organization Users via Collaborative Page Weight
Laxmi Rajani, Urjita Thakar · Journal of scientific research · 2021
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 users.It is observed that more than 90 percent recommendations are matching to the user's requirements and effective as compare to the conventional approaches.