The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Computer
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The comparative effectiveness of sponsored and nonsponsored links for Web e-commerce queries
ACM Transactions on the Web (TWEB)
INFORMS Journal on Computing
Examining customers' trust in online vendors and their dropout decisions: An empirical study
Electronic Commerce Research and Applications
Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies
Journal of Management Information Systems
A Model of Internet Pricing Under Price-Comparison Shopping
International Journal of Electronic Commerce
Internet Pricing, Price Satisfaction, and Customer Satisfaction
International Journal of Electronic Commerce
Consumer E-Tailer Choice Strategies at On-Line Shopping Comparison Sites
International Journal of Electronic Commerce
Factors relating to the decision to click on a sponsored link
Decision Support Systems
A comparative analysis of online grocery pricing in Singapore
Electronic Commerce Research and Applications
Determinants of online merchant rating: Content analysis of consumer comments about Yahoo merchants
Decision Support Systems
Price Comparison and Price Dispersion: Products and Retailers at Different Internet Maturity Stages
International Journal of Electronic Commerce
Trust-Assuring Arguments in B2C E-commerce: Impact of Content, Source, and Price on Trust
Journal of Management Information Systems
No Free Lunch: Price Premium for Privacy Seal-Bearing Vendors
Journal of Management Information Systems
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Search engines play a critical role in the diffusion of online information because they determine what content is easily visible to Web users. Major search engines, such as Google, Microsoft Live Search, and Yahoo!, provide two distinct types of results, organic and paid, each of which uses different mechanisms for selecting and ranking relevant Web pages. Using a third-party trust assurance program from BBB (Better Business Bureau) Online we find that vendors represented by websites in organic and paid results have varying reliability ratings. These ratings, based on overall customer experiences, may range from satisfactory to unsatisfactory. We empirically examine how vendors' reliability ratings from BBB Online are associated with cues (such as type of search result, relative price of a product, and number of sites selling the product) that can be observed or derived from organic and paid search results. Further, we apply a data mining technique to predict the vendors' BBB reliability ratings using those cues and achieve good performance.