Personalized Ranking Recommendation via Integrating Multiple Feedbacks

2017 ◽  
pp. 131-143 ◽  
Author(s):  
Jian Liu ◽  
Chuan Shi ◽  
Binbin Hu ◽  
Shenghua Liu ◽  
Philip S. Yu
Keyword(s):  
Personalized Ranking

scholarly journals Personalized Ranking in eCommerce Search

2020 ◽  
Author(s):  
Grigor Aslanyan ◽  
Aritra Mandal ◽  
Prathyusha Senthil Kumar ◽  
Amit Jaiswal ◽  
Manojkumar Rangasamy Kannadasan
Keyword(s):  
Personalized Ranking

A Webpage Ranking Algorithm Based on Collaborative Recommendation

2013 ◽  
Vol 765-767 ◽  
pp. 998-1002
Author(s):  
Shao Xuan Zhang ◽  
Tian Liu
Keyword(s):  
Sorting Algorithm ◽  
User Interest ◽  
Recommendation Algorithm ◽  
Search Results ◽  
Collaborative Recommendation ◽  
Interest Model ◽  
Sorting Efficiency ◽  
User Interest Model ◽  
Relevant Calculation ◽  
Personalized Ranking

In view of the present personalized ranking of search results user interest model construction difficult, relevant calculation imprecise problems, proposes a combination of user interest model and collaborative recommendation algorithm for personalized ranking method. The method from the user search history, including the submit query, click the relevant webpage information to train users interest model, then using collaborative recommendation algorithm to obtain with common interests and neighbor users, on the basis of these neighbors on the webpage and webpage recommendation level associated with the users to sort the search results. Experimental results show that: the algorithm the average minimum precision than general sorting algorithm was increased by about 0.1, with an increase in the number of neighbors of the user, minimum accuracy increased. Compared with other ranking algorithms, using collaborative recommendation algorithm is helpful for improving webpage with the user interest relevance precision, thereby improving the sorting efficiency, help to improve the search experience of the user.

IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking

2020 ◽  
pp. 394-408
Author(s):  
Tianyi Tao ◽  
Yun Xiong ◽  
Guosen Wang ◽  
Yao Zhang ◽  
Peng Tian ◽  
...  
Keyword(s):  
Social Recommendation ◽  
Item Level ◽  
Personalized Ranking

Neural graph personalized ranking for Top-N Recommendation

2020 ◽  
pp. 106426
Author(s):  
Zhibin Hu ◽  
Jiachun Wang ◽  
Yan Yan ◽  
Peilin Zhao ◽  
Jian Chen ◽  
...  
Keyword(s):  
Personalized Ranking

scholarly journals CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 48209-48223 ◽  
Author(s):  
Xichen Wang ◽  
Chen Gao ◽  
Jingtao Ding ◽  
Yong Li ◽  
Depeng Jin
Keyword(s):  
Short Video ◽  
Bayesian Personalized Ranking ◽  
Video Recommendation ◽  
Personalized Ranking

scholarly journals Comprehensive Personalized Ranking Using One-Bit Comparison Data

2019 ◽  
Author(s):  
Aria Ameri ◽  
Arindam Bose ◽  
Mojtaba Soltanalian
Keyword(s):  
Personalized Ranking ◽  
Comparison Data
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