@inproceedings{8f218ce6686e4f5ea9e7259262fdadff,
title = "TagTag: A Novel Framework for Service Tags Recommendation and Missing Tag Prediction",
abstract = "Currently, service tag recommendation plays an important role in the study of services. As a result, there have been many service tag recommendation studies that have achieved significant achievements. However, existing studies mainly have two problems: they only recommend one tag and cannot determine whether new tags are needed. To help solve the above problems, we propose a novel graph neural framework named TagTag to make multi-tag recommendations and missing tag prediction, which relies on the idea of tag collaboration graph. We conduct experiments on the real-world dataset from ProgrammableWeb, and the results show that TagTag performs better than existing studies. The code used in this paper is fully accessible at https://github.com/HIT-ICES/TagTag.",
keywords = "Deep learning, Service tag prediction, Service tags recommendation, Tags collaboration graph, Web services",
author = "Wentao Chen and Mingyi Liu and Zhiying Tu and Zhongjie Wang",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 20th International Conference on Service-Oriented Computing, ICSOC 2022 ; Conference date: 29-11-2022 Through 02-12-2022",
year = "2022",
doi = "10.1007/978-3-031-20984-0\_24",
language = "英语",
isbn = "9783031209833",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "340--348",
editor = "Javier Troya and Brahim Medjahed and Mario Piattini and Lina Yao and Pablo Fern{\'a}ndez and Antonio Ruiz-Cort{\'e}s",
booktitle = "Service-Oriented Computing - 20th International Conference, ICSOC 2022, Proceedings",
address = "德国",
}