articleMarketing ScienceApr 11, 2012Closed access

Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content

New York University

Indexed incrossref

Abstract

User-generated content on social media platforms and product search engines is changing the way consumers shop for goods online. However, current product search engines fail to effectively leverage information created across diverse social media platforms. Moreover, current ranking algorithms in these product search engines tend to induce consumers to focus on one single product characteristic dimension (e.g., price, star rating). This approach largely ignores consumers' multidimensional preferences for products. In this paper, we propose to generate a ranking system that recommends products that provide, on average, the best value for the consumer's money. The key idea is that products that provide a higher…

Citation impact

632
total citations
FWCI
129.48
Percentile
100%
References
70
Citations per year

Authors

3

Topics & keywords

Keywords
  • Geotagging
  • Ranking (information retrieval)
  • User-generated content
  • Computer science
  • Social media
  • Product (mathematics)
  • Leverage (statistics)
  • Information retrieval
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