English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

230 DOI: 10.37398/JSR.2021.650129 Abstract: 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.

Webpage Recommendation for Organization Users via Collaborative Page Weight