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DETERMINING COMPREHENSIVE SUBSETS OF REVIEWS

机译:确定评论的综合子集

摘要

Techniques are provided for selecting a limited but comprehensive set of high-quality users reviews covering several different aspects or attributes of a reviewed item. For several implementations, selection methodologies approach the challenge as a maximum coverage problem and provide a generic formalism to model the different variants of the review-set selection. Variations to such implementation may also employ different algorithms in consideration of different variants and weightings of those variants. Select implementations employ methodologies that collectively consider attributes of the item discussed in the reviews, the quality of the reviews themselves, and the viewpoint of the reviews (e.g., positive or negative) as input values in order to provide outputs that cover as many attributes of the item as possible, comprising high quality reviews representing different viewpoints.
机译:提供了用于选择一组有限但全面的高质量用户评论的技术,这些评论涵盖了评论项目的几个不同方面或属性。对于几种实现方式,选择方法将挑战视为最大覆盖问题,并提供通用的形式主义来对复习集选择的不同变体进行建模。考虑到不同的变体和这些变体的权重,这种实现的变体也可以采用不同的算法。精选实现采用的方法论共同考虑了评论中讨论的项目的属性,评论本身的质量以及评论的观点(例如,正面或负面)作为输入值,以便提供覆盖以下属性的许多属性的输出该项目尽可能多,包括代表不同观点的高质量评论。

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