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Group Recommendation Based on Attribute Mining of Book Reviews |
Xiong Huixiang1(),Li Xiaomin1,Li Yueyan2 |
1School of Information Management, Central China Normal University, Wuhan 430079, China 2School of Information Management, Nanjing University, Nanjing 210023, China |
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Abstract [Objective] This paper conducts group recommendation using the relationship among users, tags and books.[Methods] First, we used the K-means algorithm to cluster users and books. Then, we calculated cosine similarity of the two groups. Third, we compared various books based on their reviews. Finally, we sorted and clustered books to personalize the recommendation results.[Results] We examined the proposed model with data from “Douban Net” and our model recommended better resources for user groups.[Limitations] The sample data size needs to be expanded.[Conclusions] The proposed model improves the personalized recommendation of books.
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Received: 11 June 2019
Published: 26 April 2020
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Corresponding Authors:
Huixiang Xiong
E-mail: hxxiong@mail.ccnu.edu.cn
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[1] |
熊回香 . 情报资料工作[J].情报资料工作, 2007(5):29-32,50.
|
[1] |
( Xiong Huixiang . Network Information Organization on the Environment of Web2.0[J].Information and Documentation Services, 2007(5):29-32,50.)
|
[2] |
王军, 丁丹丹 . 在线评论有用性与时间距离和社会距离关系的研究[J]. 情报理论与实践, 2016,39(2):73-77,81.
|
[2] |
( Wang Jun, Ding Dandan . Research on the Relationship Between the Usefulness of Online Review and the Time and Social Distance[J]. Information Studies: Theory & Application, 2016,39(2):73-77,81.)
|
[3] |
田莹颖 . 基于社会化标签系统的个性化信息推荐探讨[J]. 图书情报工作, 2010,54(1):50-53,120.
|
[3] |
( Tian Yingying . On Personalized Information Recommendation Based on Social Tagging System[J]. Library and Information Service, 2010,54(1):50-53,120.)
|
[4] |
赵亮, 胡乃静, 张守志 . 个性化推荐算法设计[J]. 计算机研究与发展, 2002,39(8):986-991.
|
[4] |
( Zhao Liang, Hu Naijing, Zhang Shouzhi . Algorithm Design for Personalization Recommendation Systems[J]. Journal of Computer Research and Development, 2002,39(8):986-991.)
|
[5] |
余力, 刘鲁 . 电子商务个性化推荐研究[J]. 计算机集成制造系统, 2004,10(10):1306-1313.
|
[5] |
( Yu Li, Liu Lu . Research on Personalized Recommendations in E-business[J]. Computer Integrated Manufacturing Systems, 2004,10(10):1306-1313.)
|
[6] |
夏小伍, 王卫平 . 基于信任模型的协同过滤推荐算法[J]. 计算机工程, 2011,37(21):26-28.
|
[6] |
( Xia Xiaowu, Wang Weiping . Collaborative Filtering Recommendation Algorithm Based on Trust Model[J]. Computer Engineering, 2011,37(21):26-28.)
|
[7] |
单京晶 . 基于内容的个性化推荐系统研究[D]. 长春:东北师范大学, 2015.
|
[7] |
( Shan Jingjing . Research on Content-based Personalized Recommendation Systems[D]. Changchun: Northeast Normal University, 2015.)
|
[8] |
Pronk V, Verhaegh W, Proidl A , et al. Incorporating User Control into Recommender Systems Based on Naive Bayesian Classification [C]// Proceedings of the 2007 ACM Conference on Recommender Systems. New York, USA: ACM, 2007: 73-80.
|
[9] |
董学阳, 郜山权, 刘磊 , 等. 基于评论的影片个性化推荐方法[J]. 吉林大学学报: 理学版, 2018,56(4):965-968.
|
[9] |
( Dong Xueyang, Gao Shanquan, Liu Lei , et al. Personalized Recommendation Method of Film Based on Reviews[J]. Journal of Jilin University: Science Edition, 2018,56(4):965-968.)
|
[10] |
陈宇亮, 沈奎林 . 基于读者评论的图书推荐系统研究[J]. 图书情报导刊, 2016,1(9):6-9.
|
[10] |
( Chen Yuliang, Shen Kuilin . Study on the Book Recommendation System Based on the Reader’s Comments[J]. Journal of Library and Information Science, 2016,1(9):6-9.)
|
[11] |
褚晓敏, 王中卿, 朱巧明 , 等. 基于简介和评论的标签推荐方法研究[J]. 中文信息学报, 2015,29(6):179-184.
|
[11] |
( Chu Xiaomin, Wang Zhongqing, Zhu Qiaoming , et al. Tag Recommendation with Summary and Comment Information[J]. Journal of Chinese Information Processing, 2015,29(6):179-184.)
|
[12] |
甘雨虹 . 基于评论中用户观点挖掘的推荐方法研究[D]. 武汉:华中科技大学, 2017.
|
[12] |
( Gan Yuhong . Research on Recommendation Method Based on User’s Opinion Mining in Reviews[D]. Wuhan: Huazhong University of Science and Technology, 2017.)
|
[13] |
Raghavan S, Gunasekar S, Ghosh J . Review Quality Aware Collaborative Filtering [C]//Proceedings of the 6th ACM Conference on Recommender Systems. New York, USA: ACM, 2012: 123-130.
|
[14] |
Zhang W, Ding G, Chen L , et al. Generating Virtual Ratings from Chinese Reviews to Augment Online Recommendations[J]. ACM Transactions on Intelligent Systems and Technology, 2013, 4(1): Article No. 9.
|
[15] |
豆瓣读书[EB/OL]. [2019- 04- 26].https://book.douban.com/.
|
[15] |
( Douban[EB/OL]. [2019- 04- 26].https://book.douban.com/.)
|
[16] |
NLPIR/ICTCLAS汉语分词系统[EB/OL]. [ 2019- 04- 28]. http://ictclas.nlpir.org/.
|
[16] |
( NLPIR/ICTCLAS Chinese Segmentation System[EB/OL].[ 2019- 04- 28]. http://ictclas.nlpir.org/.)
|
[17] |
周清清, 章成志 . 在线用户评论细粒度属性抽取[J]. 情报学报, 2017,36(5):484-493.
|
[17] |
( Zhou Qingqing, Zhang Chengzhi . Fine-grained Aspect Extraction from Online Customer Reviews[J]. Journal of the China Society for Scientific and Technical Information, 2017,36(5):484-493.)
|
[18] |
章成志, 童甜甜, 周清清 . 整合不同评论平台的图书综合影响力评价研究[J]. 情报学报, 2018,37(9):861-873.
|
[18] |
( Zhang Chengzhi, Tong Tiantian, Zhou Qingqing . Combing Multiple Platforms of Online Reviews to Measure the Comprehensive Impact of Books[J]. Journal of the China Society for Scientific and Technical Information, 2018,37(9):861-873.)
|
[19] |
大连理工大学信息检索研究室[EB/OL]. [ 2019- 04- 30]. http://ir.dlut.edu.cn/EmotionOntologyDownload.
|
[19] |
( DUTIR[EB/OL].[ 2019- 04- 30]. http://ir.dlut.edu.cn/EmotionOntologyDownload.)
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