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An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation., , , , , and . DL4KGS@ESWC, volume 2106 of CEUR Workshop Proceedings, page 14-20. CEUR-WS.org, (2018)STEM: Stacked threshold-based entity matching for knowledge base generation., , and . Semantic Web, 10 (1): 117-137 (2019)Translational Models for Item Recommendation., , , , , and . ESWC (Satellite Events), volume 11155 of Lecture Notes in Computer Science, page 478-490. Springer, (2018)Knowledge Graph Embeddings with node2vec for Item Recommendation., , , , , and . ESWC (Satellite Events), volume 11155 of Lecture Notes in Computer Science, page 117-120. Springer, (2018)3cixty: Building comprehensive knowledge bases for city exploration., , , , , , , , , and 6 other author(s). J. Web Semant., (2017)An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion., , , , , , , and . RecSys Challenge, page 13:1-13:6. ACM, (2018)An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge., , and . DSMM@SIGMOD, page 14:1-14:2. ACM, (2016)entity2rec: Property-specific knowledge graph embeddings for item recommendation., , , , and . Expert Syst. Appl., (2020)TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning., , , , and . Information, 9 (5): 127 (2018)Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems., , , and . CoRR, (2018)