Personalized Review Selection
Lei Ye, Ziwei Hou, Haiyang Xia, Jianlong Tan, Xiao Li, Muhmmad Al-Khiza’ay, Gang Li · Procedia Computer Science · 2019
With the popularity of the online social network, reviews gradually becoming the main data source for users to understand the qualities of the goods to be purchased. However, with the proliferate of online reviews, these large amounts of reviews make it difficult for users to select useful information. Aiming to enable users to quickly obtain valid information from large amounts of reviews, this paper proposes a new method named PG to implicate personalized review selection. The proposed method in our paper is efficient for users by helping them select useful information from massive reviews.