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User Embeddings Based on Mobile App Behavior Data., , и . ICOST, том 11862 из Lecture Notes in Computer Science, стр. 183-189. Springer, (2019)Tweethood: Agglomerative Clustering on Fuzzy k-Closest Friends with Variable Depth for Location Mining., и . SocialCom/PASSAT, стр. 153-160. IEEE Computer Society, (2010)MapIt: a case study for location driven knowledge discovery and mining., , и . Int. J. Data Min. Model. Manag., 5 (1): 57-75 (2013)TWinner: understanding news queries with geo-content using Twitter., и . GIR, ACM, (2010)Tweeque: Spatio-Temporal Analysis of Social Networks for Location Mining Using Graph Partitioning., , и . SocialInformatics, стр. 145-148. IEEE Computer Society, (2012)KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation., , , , , , , и . CoRR, (2022)Design and implementation of SNODSOC: Novel class detection for social network analysis., , , , и . ISI, стр. 215-220. IEEE, (2012)Tweecalization: Efficient and intelligent location mining in twitter using semi-supervised learning., , и . CollaborateCom, стр. 514-523. ICST / IEEE, (2012)Real-Time Stream Data Analytics for Multi-purpose Social Media Applications., , , , , , , и . IRI, стр. 25-30. IEEE Computer Society, (2015)Exploring 360-Degree View of Customers for Lookalike Modeling., , , , , , , и . SIGIR, стр. 3400-3404. ACM, (2023)