E-commerce personalized recommendation analysis by deeply-learned clustering
K Wang, T Zhang, T Xue, Y Lu, SG Na - Journal of Visual Communication …, 2020 - Elsevier
With the development of Internet, personalized recommendation has played an important
role in human modern lives. Since the number of users' data is always large-scale,
traditional algorithms cannot effectively cope with e-commerce personalized
recommendation tasks. This paper proposes an e-commerce product personalized
recommendation system based on learning clustering representation. Traditional kNN
method has limitation in selecting adjacent object set. Thus, we introduce neighbor factor …
role in human modern lives. Since the number of users' data is always large-scale,
traditional algorithms cannot effectively cope with e-commerce personalized
recommendation tasks. This paper proposes an e-commerce product personalized
recommendation system based on learning clustering representation. Traditional kNN
method has limitation in selecting adjacent object set. Thus, we introduce neighbor factor …