Personalized Query Recommendation Using Semantic Factor Model

Jin Xie; Fuxi Zhu; Huanmei Guan; Jiangqing Wang; Hao Feng; Lin Zheng

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Personalized Query Recommendation Using Semantic Factor Model

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摘要

In the field of query recommendation,the current techniques for semantic analysis technology can’t meet the demands of users.In order to meet diverse needs,we improved the LDA model and designed a new query recommendation model based on collaborative filtering-Semantic Factor Model(SFM),which combines text information,user interest information and web source.First,we improved the LDA model from bag-of-word to bag-of-phrase to understand the topics expressed by users’frequently used sentences.The phrase bag model treats phrases as a whole and can capture more accurate query intent.Second,we use collaborative filtering to build an evaluation matrix between user interests and personalized expressions.Third,we designed a new scoring function that can recommend the top n resources to users.Finally,we conduct experiments on the AOL data set.The experimental results show that compared with other latest query recommendation techniques,SFM has higher recommendation quality.

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来源
《中国通信：英文版》 |2021年第8期|169-182|共14页
作者
Jin Xie; Fuxi Zhu; Huanmei Guan; Jiangqing Wang; Hao Feng; Lin Zheng;
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作者单位

Computer School;

Wuhan University;

Wuhan 430072;

China;

College of Computer Science;

South-Central University for Nationalities;

Wuhan 430074;

China;

Information department;

Wuhan College;

Wuhan 430058;

China;

Department of Computer Science;

College of Engineering;

Shantou University;

Shantou 515063;

China;

Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises;

Wuhan 430074;

China;

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原文格式 PDF
正文语种 chi
中图分类计算技术、计算机技术;
关键词
query recommendation; topic mining; text analysis; recommender system; LDA;

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1. Desktop Data Driven Approach to Personalize Query Recommendation [J] . Xiao-yun Li1 ,Ying Yu1 . 国际计算机前沿大会会议论文集 . 2017,第001期
2. The Mobile Personalized Recommendation Model Containing Implicit Intention [J] . Jing Liu12 ,Jun Zhang12 ,Yan Li12 . 国际计算机前沿大会会议论文集 . 2015,第B12期
3. A research on social network-based personalized semantic retrieval model [J] . SONG Yu ,ZHENG Yi ,WU Yan . 通讯和计算机 . 2009,第008期
4. Collaboration Filtering Recommendation Algorithm Based on the Latent Factor Model and Improved Spectral Clustering [J] . Xiaolan Xie ,Mengnan Qiu . 国际计算机前沿大会会议论文集 . 2019,第001期
5. Determine the number of factors in Probabilistic Matrix Factoring Model for Recommendation [C] . Cai Chen ,Dajun Zeng . 第三届全国社会计算会议、平行控制会议、平行管理会议 . 2011
6. Cognitive Diagnosis and Deep Learning Based Personalized Quiz Recommendation in K12 Education [A] . Zhou Fang . 2020

Personalized Query Recommendation Using Semantic Factor Model

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