JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (6): 54-61.doi: 10.6040/j.issn.1672-3961.0.2016.311

Previous Articles     Next Articles

Collaborative recommendation for scenic spots based on multi-aspect ratings

WANG Zhiqiang1, WEN Yimin1,2*, LI Fang1,2   

  1. 1. School of Computer Information and Security, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China;
    2. Guangxi Key Laboratory of Trusted Software, Guilin 541004, Guangxi, China
  • Received:2016-07-22 Online:2016-12-20 Published:2016-07-22

PDF (PC)

998

Abstract: The simplex overall ratings are used to compute the similarities between users and items in the model of traditional collaborative filtering recommendation, but it can't correctly depict the users' true preferences. In order to solve this problem, a collaborative scenic spots recommendation algorithm based on multi-aspect ratings was proposed, which integrated the ratings of the scenery, interesting and cost performance of spots to compute the similarities to predict the overall ratings of an active user for a target spot. Experimental results showed that, after introducing the information of multi-aspect ratings, the proposed method improved the accuracy of prediction score, coverage and F-measure and reduced the predicting error of root-mean-square and mean-absolute.

Key words: rating prediction, similarity metrics, scenic spots recommendation, multi-aspect ratings, collaborative recommendation

CLC Number: 

  • TP181
[1] 乔向杰,张凌云. 近十年国外旅游推荐系统的应用研究[J].旅游学刊,2014,29(8):117-127. QIAO Xiangjie, ZHANG Lingyun. Study on the application of foreign tourism recommendation system in recent ten years[J]. Tourism Tribune, 2014, 29(8):117-127.
[2] 文益民,史一帆,蔡国永,等.个性化旅游推荐研究综述[EB/OL].[2014-07-03].http://www.paper.edu.cn/releasepaper/content/201407-56.
[3] 史一帆,文益民.基于景点标签的协同过滤推荐[J].计算机应用,2014, 34(10):2854-2858. SHI Yifan, WEN Yimin. Collaborative filtering recommendation based on tags of scenic spots[J]. Journal of Computer Applications, 2014, 34(10): 2854-2858.
[4] 雷震,文益民,王志强,等.基于影响力控制的热传导算法[J].智能系统学报,2016, 11(3):328-335. LEI Zhen, WEN Yimin, WANG Zhiqiang, et al. Heat conduction controlled by the influence of users and items[J]. CAAI Transactions on Intelligent Systems, 2016, 11(3):328-335.
[5] 庞俊涛,张晖,杨春明,等.基于概率矩阵分解的多指标协同过滤算法[J].山东大学学报(工学版),2016,46(3):65-73. PANG Juntao, ZHANG Hui, YANG Chunming, et al. Multi-criteria collaborative filtering algorithm based on probabilistic matrix factorization[J]. Journal of Shandong University(Engineering Science), 2016, 46(3):65-73.
[6] MAGID A, CHEN L, CHEN G, et al. A context-aware personalized travel recommendation system based on geotagged social media data mining[J]. International Journal of Geographical Information Science, 2013, 27(4):662-684.
[7] GOLDBERG D, NICHOLS D, OKI B M, et al. Using collaborative filtering to weave an information tapestry[J]. Communications of the ACM, 1992, 35(12):61-70.
[8] LINDEN G, SMITH B, YORK J. Amazon.com recommendations: item-to-item collaborative filtering[J]. IEEE Internet Computing, 2003, 7(1):76-80.
[9] DAS A S, DATAR M, GARG A, et al. Google news personalization: scalable online collaborative filtering[C] //Proceedings of the 16th International Conference on World Wide Web. New York, USA: ACM, 2007: 271-280.
[10] BENNETT J, ELKAN C, LIU B, et al. KDD Cup and workshop 2007[J]. ACM SIGKDD Explorations Newsletter, 2007, 9(2):51-52.
[11] RESNICK P, IACOVOU N, SUCHAK M, et al. GroupLens: an open architecture for collaborative filtering of netnews[C] // Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work. New York, USA: ACM, 1994: 175-186.
[12] SARWAR B, KARYPIS G, KONSTAN J, et al. Item-based collaborative filtering recommendation algorithms[C] // Proceedings of the 10th International Conference on World Wide Web. Hong Kong, China: ACM, 2001: 285-295.
[13] CHOI K, SUH Y. A new similarity function for selecting neighbors for each target item in collaborative filtering[J]. Knowledge-Based Systems, 2013, 37(1):146-153.
[14] LIU H F, HU Z, MIAN A, et al. A new user similarity model to improve the accuracy of collaborative filtering[J]. Knowledge-Based Systems, 2014, 56(3):156-166.
[15] ZHANG J, PENG Q, SUN S Q, et al. Collaborative filtering recommendation algorithm based on user preference derived from item domain features[J]. Physica A: Statistical Mechanics and its Applications, 2014, 396(15):66-76.
[16] YU X, WANG Z. A enhanced trust model based on social network and online behavior analysis for recommendation[C] // Proceedings of International Conference on Computational Intelligence and Software Engineering. Wuhan, China: IEEE, 2010: 1-4.
[17] CHANG Q, WANG X K, YIN D, et al. The new similarity measure based on user preference models for collaborative filtering[C] // Proceedings of the 2015 IEEE International Conference on Information and Automation. Lijiang, China: IEEE, 2015: 557-582.
[18] 文俊浩, 舒珊.一种改进相似性度量的协同过滤推荐算法[J]. 计算机科学, 2014,41(5):68-71. WEN Junhao, SHU Shan. Improved collaborative filtering recommendation algorithm of similarity measure[J]. Computer Science, 2014, 41(5):68-71.
[19] BREESE J S, HECKERMAN D, KADIE C. Empirical analysis of predictive algorithms for collaborative filtering[C] // Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence. Madison, USA: Morgan Kaufmann Publishers Inc, 1998: 43-52.
[20] 项亮.推荐系统实践[M].北京:人民邮电出版社,2012.
[21] 李聪,梁昌勇,马丽.基于领域最近邻的协同过滤推荐算法[J].计算机研究与发展,2008,45(9):1532-1538. LI Cong, LIANG Changyong, MA Li. A collaborative filtering recommendation algorithm based on domain nearest neighbor[J]. Journal of Computer Research and Development, 2008, 45(9):1532-1538.
[1] WANG Tingting, ZHAI Junhai, ZHANG Mingyang, HAO Pu. K-NN algorithm for big data based on HBase and SimHash [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 54-59.
[2] HE Zhengyi, ZENG Xianhua, GUO Jiang. An ensemble method with convolutional neural network and deep belief network for gait recognition and simulation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 88-95.
[3] CUI Xiaosong, WANG Ying, MENG Jia, ZOU Li. Online business self-evaluation system based on linguistic-valued similarity reasoning [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(1): 1-7.
[4] YAO Yu, FENG Jian, ZHANG Huaguang, HAN Kezhen. Weighted hyper-ellipsoidal support vector data description with negative samples for outlier detection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 195-202.
[5] LI Sushu, WANG Shitong, LI Tao. A feature selection method based on LS-SVM and fuzzy supplementary criterion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 34-42.
[6] LIU Yingxia, WANG Xichang, TANG Xiaoli, CHANG Faliang. Object detection algorithm based on Bayesian probability estimation in wavelet domain [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(2): 63-70.
[7] HE Zhengyi, ZENG Xianhua, QU Shengwei, WU Zhilong. The time series prediction model based on integrated deep learning [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(6): 40-47.
[8] WANG Mei, ZENG Zhaohu, SUN Yingqi, YANG Erlong, SONG Kaoping. Bayesian combination of SVR on regularization path based on KNN of input [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(6): 8-14.
[9] CHEN Zehua, SHANG Xiaohui, CHAI Jing. Neighborhood related multiple-instance classifiers based on integrated Hausdorff distance [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(6): 15-22.
[10] HUANG Dan, WANG Zhihai, LIU Haiyang. A local collaborative filtering algorithm based on ranking recommendation tasks [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(5): 29-36.
[11] MO Xiaoyong, PAN Zhisong, QIU Junyang, YU Yajun, JIANG Mingchu. Anomaly detection in network traffic based on online feature selection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(4): 21-27.
[12] PANG Juntao, ZHANG Hui, YANG Chunming, LI Bo, ZHAO Xujian. Multi-criteria collaborative filtering algorithm based on probabilistic matrix factorization [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 65-73.
[13] ZHAI Junhai, ZHANG Sufang, HU Wenxiang, WANG Xizhao. Radial basis function extreme learning machine based on core sets [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(2): 1-5.
[14] JIANG Feng, DU Junwei, LIU Guozhu, SUI Yuefei. A weight-based initial centers selection algorithm for K-modes clustering [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(2): 29-34.
[15] ZHU Hong, DING Shifei. Twice clustering method based on variable granularity [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(3): 1-6.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] LI Ke,LIU Chang-chun,LI Tong-lei . Medical registration approach using improved maximization of mutual information[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 107 -110 .
[2] YUE Yuan-Zheng. Relaxation in glasses far from equilibrium[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 1 -20 .
[3] WANG Yong, XIE Yudong. Gas control technology of largeflow pipe[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(2): 70 -74 .
[4] LIU Xin 1, SONG Sili 1, WANG Xinhong 2. [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(2): 98 -100 .
[5] ZHAO Zhi-guang,WANG Deng-jie,TIAN Yun-fei . Roadbed settlement based on the gray theory[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(3): 86 -88 .
[6] LONG Zhi-Jian, ZHANG Chang-Qiao. Synthesis and properties of associating DRA by binary copolymerization based on lauryl methacrylate[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 128 -132 .
[7] CHEN Peng, HU Wen-Rong, FEI Hai-Yan. Screening of a denitrifying bacterium strain LZ-14 and its nitrogen removal characteristics[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 133 -138 .
[8] MENG Jian, LI Yibin, LI Bin. Bound gait controlling method of quadruped robot[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(3): 28 -34 .
[9] HANG Guang-qing,KONG Fan-yu,LI Da-xing, . Efficient algorithm with resistance to simple power analysis on Koblitz curves[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(3): 78 -80 .
[10] XU Yan-sheng,LIU Xing-fang . Application of the fuzzy clustering iterative model to the evalution of water resource carrying capacity[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(3): 100 -104 .
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd