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AssigneeAccenture Global Solutions Limited
InventorsCongwei Dang, Takuya Kudo, Takafumi Mizuno, Makoto Yomosa, Sayaka Tanaka, Miku Yoshio
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A rating prediction engine builds and applies models to predict ratings based on an analysis of textual reviews and comments. The engine can build multiple models simultaneously through distributed parallel model building that employs deep convolutional neural networks (CNNs). The engine can also incorporate user moment feature data, including user status and context information, to provide better performance and more accurate predictions. The engine can also employ heuristic unsupervised pre-training and/or adaptive over-fitting reduction for model building. In some instances, the techniques described herein can be used in a service to predict personalized ratings for reviews or other published items, in instances where the original author of the item did not include a rating and/or in instances where the publication channel does not provide a mechanism to enter ratings.
A computer-implemented method performed by at least one processor, the method comprising:
A system comprising:
One or more computer-readable storage media storing instructions which, when executed by at least one processor, instruct the at least one processor to perform operations comprising:
Dependencies are inferred from the claim text.