2013
DOI: 10.1016/j.cad.2012.07.008
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Identifying helpful online reviews: A product designer’s perspective

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Cited by 145 publications
(83 citation statements)
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“…Product ratings, category ratings, attribute ratings and product specifications are taken into consideration in this hierarchical model. Finally, an optimization problem was (Liu et al, 2013), the helpfulness of online reviews was initially defined in the viewpoint of designers for QFD. According to designers' arguments, four categories of features are extracted from online reviews.…”
Section: Online Reviews For Product Designmentioning
confidence: 99%
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“…Product ratings, category ratings, attribute ratings and product specifications are taken into consideration in this hierarchical model. Finally, an optimization problem was (Liu et al, 2013), the helpfulness of online reviews was initially defined in the viewpoint of designers for QFD. According to designers' arguments, four categories of features are extracted from online reviews.…”
Section: Online Reviews For Product Designmentioning
confidence: 99%
“…As one downside of online reviews, not all of these data contain much valuable information to product designers. In the previous research (Liu et al, 2013), the helpfulness of online reviews is perceived, evaluated and predicted from the perspective of product designers. These techniques in the previous research enable product designers to concentrate only on high-quality customer reviews.…”
Section: A Short Summarymentioning
confidence: 99%
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