Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content
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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
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Authors
3Topics & keywords
Topics
Keywords
- Geotagging
- Ranking (information retrieval)
- User-generated content
- Computer science
- Social media
- Product (mathematics)
- Leverage (statistics)
- Information retrieval
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