A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Journal of Software
The objective of this study is to develop a Personal Integrated Recommender System. The Recommender System plays an important role and is crucial to our everyday lives in online shopping, meanwhile, it also encounters various problems e.g. scalable data, data sparsity, data accuracy, and having a lot of new users. Therefore, new techniques have been introduced and integrated with the recommender system in order to solve the problems and improve for greater recommender system efficiency. Thisdoi:10.17706/jsw.15.6.163-171 fatcat:p3bpr4jpnrbr7pbynpp3ft4bda