2012 ©
             Publication
Journal Publication
Title of Article A novel temporal recommender system based on multiple transitions in user preference drift and topic review evolution 
Date of Acceptance 14 July 2021 
Journal
     Title of Journal Expert Systems with Applications 
     Standard ISI 
     Institute of Journal Elsevier 
     ISBN/ISSN  
     Volume 2021 
     Issue 185 
     Month December
     Year of Publication 2021 
     Page 115626 
     Abstract Recommender systems are challenging research problems being exploited to suggest new items or services, such as books, music and movies, and even people, to users based on information about the user profile or the recommended items. To date, collaborative filtering (CF) has become one of the most widely used approaches for recommendations. However, traditional CF methods usually cannot track temporal dynamic user preferences and topic changes to make appropriate suggestions. Moreover, the performance of CF is limited in the case of sparse data. In this paper, we propose a novel temporal recommender system based on multiple transitions in user preference drift, called MTUPD, which employs a multitransition factor and a forgetting time function to investigate the evolution of user preferences. In addition, we consider addressing the rating sparsity issue by using text reviews. Understanding the reviews can facilitate the system grasping whether or not a user is attracted by the appearance of an item and whether the facet of an item’s appearance contributes the most to its ratings. To achieve this, we apply a topic model that automatically classifies hidden topic factors in each time period and incorporate the transition method for both user preferences and relevant review topics. Experiments show that our proposed model outperforms the compared models on eight promising datasets for temporal recommender systems. 
     Keyword Recommender system,Temporal dynamics,Collaborative filtering,Data sparsity,Topic model,User preference drift,Review-based recommender system 
Author
607020029-8 Miss CHARINYA WANGWATCHARAKUL [Main Author]
College of Computing Doctoral Degree

Reviewing Status มีผู้ประเมินอิสระ 
Status ตีพิมพ์แล้ว 
Level of Publication นานาชาติ 
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