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 Beibei Li

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Bibliometrics: publication history
Average citations per article11.40
Citation Count57
Publication count5
Publication years2011-2017
Available for download3
Average downloads per article390.67
Downloads (cumulative)1,172
Downloads (12 Months)61
Downloads (6 Weeks)35
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1 published by ACM
December 2017 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 9 Issue 3, January 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 29,   Downloads (12 Months): 29,   Downloads (Overall): 29

Full text available: PDFPDF
The pervasiveness of mobile technologies today has facilitated the creation of massive online crowdsourced and geotagged data from individual users at different locations in a city. Such ubiquitous user-generated data allow us to study the social and behavioral trajectories of individuals across both digital and physical environments. This information, combined ...
Keywords: location-based service, mobility analytic, Geotagged social media, city demand, econometric analysis, crowdsourced user behavior, econometrics

2
July 2014 Management Science: Volume 60 Issue 7, July 2014
Publisher: INFORMS
Bibliometrics:
Citation Count: 8

In this paper, we study the effects of three different kinds of search engine rankings on consumer behavior and search engine revenues: direct ranking effect, interaction effect between ranking and product ratings, and personalized ranking effect. We combine a hierarchical Bayesian model estimated on approximately one million online sessions from ...
Keywords: hierarchical Bayesian methods, IT policy and management, electronic commerce, randomized experiments, information systems, travel search engine

3
May 2012 Marketing Science: Volume 31 Issue 3, 05-06 2012
Publisher: INFORMS
Bibliometrics:
Citation Count: 30

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 ...
Keywords: hotels, search engines, ranking system, social media, text mining, user-generated content, crowdsourcing, structural models

4 published by ACM
March 2011 WWW '11: Proceedings of the 20th international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 13
Downloads (6 Weeks): 4,   Downloads (12 Months): 25,   Downloads (Overall): 946

Full text available: PDFPDF
With the growing pervasiveness of the Internet, online search for products and services is constantly increasing. Most product search engines are based on adaptations of theoretical models devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is different than the process of locating ...
Keywords: consumer surplus, economics, text mining, user-generated content, ranking, product search, utility theory

5 published by ACM
March 2011 WWW '11: Proceedings of the 20th international conference companion on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 9,   Downloads (Overall): 188

Full text available: PDFPDF
Most product search engines today build on models of relevance devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is different than the process of locating relevant documents or objects . We propose a theory model for product search based on expected utility ...
Keywords: recommender systems, product search, user modeling, web search



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