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Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities.

, , , and . ICCBR, volume 12877 of Lecture Notes in Computer Science, page 64-78. Springer, (2021)

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Further Experiments in Opinionated Product Recommendation., , and . ICCBR, volume 8765 of Lecture Notes in Computer Science, page 110-124. Springer, (2014)From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews., and . UMAP, page 309-310. ACM, (2016)RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models., , , , , , and . CoRR, (2023)HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction., , , and . WWW, page 441-451. ACM / IW3C2, (2020)Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs., , , and . SGAI Conf., volume 12498 of Lecture Notes in Computer Science, page 35-48. Springer, (2020)MARF: User-Item Mutual Aware Representation with Feedback., , , , , , , and . ICWE, volume 13362 of Lecture Notes in Computer Science, page 3-15. Springer, (2022)Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis., , , , , and . ACL/IJCNLP (1), page 306-316. Association for Computational Linguistics, (2021)Convolutional Matrix Factorization for Recommendation Explanation., , and . IUI Companion, page 34:1-34:2. ACM, (2018)User-Based Opinion-based Recommendation., and . IJCAI, page 4821-4825. ijcai.org, (2017)DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning., , , , , , and . IEEE Access, (2021)