Comparing the effectiveness of related articles recommender systems in Web of Science and Google Scholar

Aim: Scientific recommender systems have been developed to provide users with resources that are close to their information needs. The main objective of the present study was to compare the effectiveness of the related articles recommender systems in Google Scholar and Web of Science databases from...

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Bibliographic Details
Main Authors: saba sasein, javad abbaspour
Format: Article
Language:fas
Published: University of Tehran 2019-05-01
Series:تحقیقات کتابداری و اطلاع‌رسانی دانشگاهی
Subjects:
Online Access:https://jlib.ut.ac.ir/article_70154_9b8dd0f468d43cc924eb3ab872da8cf4.pdf