@inproceedings{323e4ad570404aeaadde74d1eaed6c00,
title = "Tag2Word: Using tags to generate words for content based tag recommendation",
abstract = "Tag recommendation is helpful for the categorization and searching of online content. Existing tag recommendation methods can be divided into collaborative filtering methods and content based methods. In this paper, we put our focus on the content based tag recommendation due to its wider applicability. Our key observation is the tag-content co-occurrence, i.e., many tags have appeared multiple times in the corresponding content. Based on this observation, we propose a generative model (Tag2Word), where we generate the words based on the tag-word distribution as well as the tag itself. Experimental evaluations on real data sets demonstrate that the proposed method outperforms several existing methods in terms of recommendation accuracy, while enjoying linear scalability.",
keywords = "Generative model, Tag recommendation, Tag-content co-occurrence",
author = "Yong Wu and Yuan Yao and Feng Xu and Hanghang Tong and Jian Lu",
note = "This work is supported by the National Basic Research Program of China (No. 2015CB352202) and the National Natural Science Foundation of China (No. 91318301). This work is partially supported by the National Science Foundation under Grant No. IIS1017415, by DTRA under the grant number HDTRA1-16-0017, by Army Research Office under the contract number W911NF-16-1-0168, by National Institutes of Health under the grant number R01LM011986, Region II University Transportation Center under the project number 49997-3325 and a Baidu gift.; 25th ACM International Conference on Information and Knowledge Management, CIKM 2016 ; Conference date: 24-10-2016 Through 28-10-2016",
year = "2016",
month = oct,
day = "24",
doi = "10.1145/2983323.2983682",
language = "English (US)",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "2287--2292",
booktitle = "CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management",
address = "United States",
}