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Using Adjective Features from User Reviews to Generate Higher Quality and Explainable Recommendations., , and . Shaping the Future of ICT Research, volume 389 of IFIP Advances in Information and Communication Technology, page 18-34. Springer, (2012)GCdiscrimination: identification of gastric cancer based on a milliliter of blood., , , , , , , , , and . Briefings Bioinform., 22 (1): 536-544 (2021)The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 10 and 11 galaxy samples, , , , , , , , , and 55 other author(s). (2013)cite arxiv:1312.4877Comment: 40 pages, 29 figures.An adaptive penalty-based boundary intersection method for many-objective optimization problem., , , , , and . Inf. Sci., (2020)Hierarchical stress modeling and generation in mandarin for expressive Text-to-Speech., , , , and . Speech Commun., (2015)NUSIS at TREC 2011 Microblog Track: Refining Query Results with Hashtags., , , , and . TREC, volume 500-296 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2011)Do adjective features from user reviews address sparsity and transparency in recommender systems?, , and . Electron. Commer. Res. Appl., (2018)Incorporating facial attractiveness in photos for online dating recommendation., , and . Electron. Commer. Res., 19 (2): 285-310 (2019)Industry Classification Based on Labor Mobility Network Mining., , and . CONF-IRM, page 20. (2018)Quantitative intonation modeling of interrogative sentences for Mandarin speech synthesis., , , and . Speech Commun., (2017)