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Exploiting Post-Click Behaviors for Recommender System
Author(s) -
Hai-bin Zhai
Publication year - 2022
Publication title -
international journal on cybernetics and informatics
Language(s) - Danish
Resource type - Journals
eISSN - 2320-8430
pISSN - 2277-548X
DOI - 10.5121/ijci.2022.110409
Subject(s) - recommender system , computer science , leverage (statistics) , information overload , clickstream , click through rate , world wide web , scalability , user engagement , information retrieval , proxy (statistics) , human–computer interaction , web page , machine learning , web navigation , database , web api

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