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Exploring a standardized language for describing foods using embedding techniques.

, , , and . IEEE BigData, page 5172-5176. IEEE, (2019)

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Cross-Cutting Political Awareness through Diverse News Recommendations., and . CoRR, (2019)Exploring a standardized language for describing foods using embedding techniques., , , and . IEEE BigData, page 5172-5176. IEEE, (2019)Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning., , , , , and . ISWC (1), volume 11136 of Lecture Notes in Computer Science, page 21-37. Springer, (2018)Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications., , , and . ACM Trans. Interact. Intell. Syst., 7 (1): 1:1-1:34 (2017)Mix and Rank: A Framework for Benchmarking Recommender Systems., , and . IEEE BigData, page 3717-3726. IEEE, (2019)Random Walk TripleRush: Asynchronous Graph Querying and Sampling., , , and . WWW, page 1034-1044. ACM, (2015)Adversarial Learning for Debiasing Knowledge Graph Embeddings., , , , , and . CoRR, (2020)Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks., and . WWW, page 2046-2057. ACM / IW3C2, (2021)Towards Automatic Bias Detection in Knowledge Graphs., , , , and . EMNLP (Findings), page 3804-3811. Association for Computational Linguistics, (2021)A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records., , and . CoRR, (2020)