A Collaborative Filtering Recommendation Algorithm with Improved Similarity Calculation
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References
- Statistical Report on Internet Development in China[R]. China Internet Network Information Center, 2017.
- Borkar V, Carey MJ, Li C. Inside Big Data management: ogres, onions, or parfaits[C]. Proceedings of the 15th International Conference on Extending Database Technology. ACM, 2012:3–14.
- Wang Guoxia, Liu Heping. Survey of personalized recommendation system[J]. Computer Engineering and Applications, 2012, 48(7), 66–76.
- Sarwar B, Karypis G, Konstan J, et al. Item based collaborative filtering recommendation algorithms[C]. Proc 10th Int’l WWW Conf, Hong Kong, 2001:1–5.
- Chen YL, Cheng LC. A novel collaborative filtering approach for recommending ranked items[C]. Expert Systems with Applications, 2008, 34(4): 2396–2405.
- Yang MH, Gu ZM. Personalized recommendation based on partial similarity of interests[C]. Advanced Data Mining and Applications Proceedings, 2006, 4093:509–516.
- Fu He-Gang, Wang Zhu-Wei. Improvement of Item-Based Collaborative Filtering Algorithm[J]. Journal of Chongqing University of Technology(Natural Science), 2010(9):71–72.
- Guo Lei, Ma Jun. Incorporating Item Relations for Social Recommendation[J]. Chinese Journal of Computers, 2014, 37(1):220–227.
- X. Luo, Xia, Y. and Zhu, Q. Incremental collaborative filtering recommender based on regularized matrix factorization[J]. Knowledge-Based Systems, 2012, 27, pp. 271–280.
- Sun Chen, Xi Hongsheng, Gao Rong. A Recommendation-Support Model Using Neighborhood-Based Linear Least Squares Fitting[J]. Journal of Xi’an Jiaotong University, 2015, 49(6), 78–83.
- C. Rana, and Jain, S.K. A study of the dynamic features of recommender systems[J]. Artificial Intelligence Review, 2015, 43(1), pp. 141–153.
- Item-network-based collaborative filtering: A personalized recommendation method based on a user’s item network[J]. Taehyun Ha, Sangwon Lee. Information Processing and Management. 2017(5).
- Gai Li, Zhiqiang Zhang, et al. One-Class Collaborative Filtering Based on Rating Prediction and Ranking Prediction[J]. Knowledge-Based Systems. 2017.
DOI: https://doi.org/10.21307/ijanmc-2018-019 | Journal eISSN: 2470-8038
Language: English
Page range: 97 - 100
Published on: May 7, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
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© 2018 Yang Ju, Liu Bailin, Zhixiang Zhao, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.