MLP-IA: Multi-label User Profile Based on Implicit Association Labels-Reference-Cited by-同舟云学术

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MLP-IA: Multi-label User Profile Based on Implicit Association Labels

Published:2019 Issue: Volume: Page:548-561
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Wei Lingwei,Zhou Wei,Wen Jie,Lin Meng,Han Jizhong,Hu Songlin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-22734-0_40

Reference26 articles.

1. Boudaer, G., Loeckx, J.: Enriching topic modelling with users’ histories for improving tag prediction in Q&A Systems. In: 25th International Conference Companion on World Wide Web, pp. 669–672. ACM, USA (2016)

2. de Souza, P.R., Durão, F.A.: RecTwitter: a semantic-based recommender system for Twitter users. In: Proceedings of the 24th Brazilian Symposium on Multimedia and the Web (WebMedia 2018), pp. 371–378. ACM, USA (2018)

3. Nurbakova, D.: Recommendation of activity sequences during distributed events. In: Conference, pp. 261–264 (2018)

4. Chang, P.S., Ting, I.H., Wang, S.L.: Towards social recommendation system based on the data from microblogs. In: International Conference on Advances in Social Networks Analysis and Mining, pp. 672–677. IEEE, USA (2011)

5. Li, R., Wang, C., Chang, C.C.: User profiling in an ego network: co-profiling attributes and relationships. In: International Conference on World Wide Web, pp. 819–830. ACM, USA (2014)

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