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Disambiguation of "Piao, Guangyuan"

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Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter.

, and . EKAW, volume 10024 of Lecture Notes in Computer Science, page 496-510. (2016)

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Guihua Piao

Wenji Piao

 

Other publications of authors with the same name

Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach., and . WWW (Companion Volume), page 1973-1977. ACM, (2018)Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes., , and . JIST, volume 9544 of Lecture Notes in Computer Science, page 185-200. Springer, (2015)Exploiting the semantic similarity of interests in a semantic interest graph for social recommendations: student research abstract.. SAC, page 375-376. ACM, (2016)Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations., and . UMAP, page 105-109. ACM, (2016)Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations., and . UMAP, page 291-292. ACM, (2016)Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model., and . ESWC, volume 10843 of Lecture Notes in Computer Science, page 496-511. Springer, (2018)A Simple Language Independent Approach for Distinguishing Individuals on Social Media.. HT, page 251-256. ACM, (2021)Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning., , , and . Networking, page 1-9. IEEE, (2021)A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations., and . ESWC (Satellite Events), volume 11155 of Lecture Notes in Computer Science, page 345-359. Springer, (2018)Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations., and . SEMANTiCS, page 81-88. ACM, (2016)