Zheng et al., 2023 - Google Patents
Recommending What to Search: Sales Volume and Consumption Diversity Effects of a Query Recommender SystemZheng et al., 2023
View PDF- Document ID
- 6739391221496165703
- Author
- Zheng S
- Tong S
- Kwon H
- Burtch G
- Li X
- Publication year
- Publication venue
- Available at SSRN 4667778
External Links
Snippet
We consider the sales volume and consumption diversity effects of a query recommender system (QRS). Collaborating with the leading mobile, on-demand food take-out app in Asia, we design and implement a field experiment wherein we randomly assign some users' …
- 230000000694 effects 0 title abstract description 73
Classifications
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- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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