Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Marketing Science
HYRIWYG: leveraging personalization to elicit honest recommendations
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten
ACM Transactions on Computer-Human Interaction (TOCHI)
Optimal pricing with recommender systems
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
An analysis of alternative slot auction designs for sponsored search
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
The dynamics of viral marketing
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Budget optimization in search-based advertising auctions
Proceedings of the 8th ACM conference on Electronic commerce
Optimal delivery of sponsored search advertisements subject to budget constraints
Proceedings of the 8th ACM conference on Electronic commerce
Anonymity-proof Shapley value: extending shapley value for coalitional games in open environments
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Camera brand congruence in the Flickr social graph
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Pricing Strategies for Viral Marketing on Social Networks
WINE '09 Proceedings of the 5th International Workshop on Internet and Network Economics
Is it time for a career switch?
Proceedings of the 22nd international conference on World Wide Web
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Suppose your sole interest in recommending a product to me is to maximize the amount paid to you by the seller for a sequence of recommendations. How should you recommend optimally if I become more inclined to ignore you with each irrelevant recommendation you make? Finding an answer to this question is a key challenge in all forms of marketing that rely on and explore social ties; ranging from personal recommendations to viral marketing. We prove that even if the recommendee regains her initial trust on each successful recommendation, the expected revenue the recommender can make over an infinite period due to payments by the seller is bounded. This can only be overcome when the recommendee also incrementally regains trust during periods without any recommendation. Here, we see a connection to "banner blindness," suggesting that showing fewer ads can lead to a higher long-term revenue.