A Study of Recommending Locations on Location-Based Social Network by Collaborative Filtering
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-30353-1_22
Reference15 articles.
1. Pazzani, M.J.: A Framework for Collaborative, Content-Based and Demographic Filtering. Artificial Intelligence Review 13(5-6), 393–408 (1999)
2. Su, X., Khoshgoftaar, T.M.: A Survey of Collaborative Filtering Techniques. Advances in Artificial Intelligence 2009, 4:2–4:2 (2009)
3. Koren, Y., Bell, R., Volinsky, C.: Matrix Factorization Techniques for Recommender Systems. Computer 42(8), 30–37 (2009)
4. Zheng, V.W., Zheng, Y., Xie, X., Yang, Q.: Collaborative Location and Activity Recommendations with GPS History Data. In: WWW, pp. 1029–1038 (2010)
5. Ye, M., Ying, P., Lee, W., Lee, D.: Exploiting Geographical Influence for Collaborative Point-of-Interest Recommendation. In: Proceedings of the ACM International Conference on Research and Development on Information Retrieval (SIGIR 2011), pp. 325–344 (2011)
Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. To Analyze the Various Machine Learning Algorithms That Can Effectively Process Large Volumes of Data and Extract Relevant Information for Personalized Travel Recommendations;SN Computer Science;2024-03-27
2. A Hybrid POI Recommendation System Combining Link Analysis and Collaborative Filtering Based on Various Visiting Behaviors;ISPRS International Journal of Geo-Information;2023-10-22
3. Smart Technology Applications in Healthcare Before, During, and After the COVID-19 Pandemic;Sustainable Smart Healthcare;2023
4. An Optimal Round-Trip Route Planning Method for Tourism Based on Improved Genetic Algorithm;Computational Intelligence and Neuroscience;2022-08-28
5. Exploiting Visual Content for Travel Location Recommendation;2021 International Conference on Electrical, Computer and Energy Technologies (ICECET);2021-12-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3