Tag recommendation by machine learning with textual and social features-Reference-Cited by-同舟云学术

Tag recommendation by machine learning with textual and social features

Published:2012-04-01 Issue:2 Volume:40 Page:261-282
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Chen Xian,Shin Hyoseop

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10844-012-0200-0.pdf

Reference25 articles.

1. Ames, M., & Naaman, M. (2007). Why we tag: Motivations for annotation in mobile and online media. In Proceedings of the SIGCHI conference on human factors in computing system (pp. 971–980). California: ACM Press.

2. Bischoff, K., Firan, C. S., Nejdl, W., & Paiu, R. (2008). Can all tags be used for search? In Proceedings of 17th ACM conference on information and knowledge management (pp. 193–202). California: ACM Press.

3. Chen, X., & Shin, H. (2010). Extracting representative tags for Flickr users. In Proceedings of 10th international conference on data mining workshops (pp. 312–317). Sydney: IEEE Press.

4. Flickr (2000). Flickr. http://www.flickr.com . Accessed 21 May 2011.

5. F-score (2002). Wikipedia F-score. http://en.wikipedia.org/wiki/F1_score . Accessed 15 Jan 2012.

Cited by 14 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. Image annotation in social networks using graph and multimodal deep learning features;Multimedia Tools and Applications;2021-01-08

2. A User Experience Study on Short Video Social Apps Based on Content Recommendation Algorithm of Artificial Intelligence;International Journal of Pattern Recognition and Artificial Intelligence;2020-10-19

3. Graph‐based tag recommendations using clusters of patients in clinical decision support system;Concurrency and Computation: Practice and Experience;2020-01-06

4. An Incremental Clustering Approach to Personalized Tag Recommendations;HCI in Business, Government and Organizations. Information Systems and Analytics;2019

5. MFS-LDA: a multi-feature space tag recommendation model for cold start problem;Program;2017-09-05