Popularity, novelty and attention

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Popularity, novelty and attention

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Electronic Commerce archive
Proceedings of the 9th ACM conference on Electronic commerce table of contents

Chicago, Il, USA

SESSION: Economic redistribution table of contents

Pages 240-245

Year of Publication: 2008

ISBN:978-1-60558-169-9

Authors

Fang Wu	HP Labs, Palo Alto, CA, USA
Bernardo A. Huberman	HP Labs, Palo Alto, CA, USA

Sponsors

ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 28, Downloads (12 Months): 126, Citation Count: 3

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ABSTRACT

We analyze the role that popularity and novelty play in attracting the attention of users to dynamic websites. We do so by determining the performance of three different strategies that can be utilized to maximize attention. The first one prioritizes novelty while the second emphasizes popularity. A third strategy looks myopically into the future and prioritizes stories that are expected to generate the most clicks within the next few minutes. We show that the first two strategies should be selected on the basis of the rate of novelty decay, while the third strategy performs sub-optimally in most cases. We also demonstrate that the relative performance of the first two strategies as a function of the rate of novelty decay changes abruptly around a critical value, resembling a phase transition in the physical world.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Josef Falkinger. Attention economies. Journal of Economic Theory, vol. 133, pp. 266--294, 2007.
	2	John Garofalakis , Panagiotis Kappos , Dimitris Mourloukos, Web Site Optimization Using Page Popularity, IEEE Internet Computing, v.3 n.4, p.22-29, July 1999 [doi>10.1109/4236.780957]
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	6	Bernardo A. Huberman , Fang Wu, The economics of attention: maximizing user value in information-rich environments, Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising, p.16-20, August 12-12, 2007, San Jose, California [doi>10.1145/1348599.1348602]
	7	Fang Wu and Bernardo A. Huberman. Novelty and collective attention. Proceedings of National Academy of Sciences, vol. 104, no. 45, pp. 17599--17601, 2007.
	8	Ping Zhang, The effects of animation on information seeking performance on the World Wide Web: securing attention or interfering with primary tasks?, Journal of the AIS, v.1 n.1es, March 2000

CITED BY 3

	Deepak Agarwal , Bee-Chung Chen , Pradheep Elango, Spatio-temporal models for estimating click-through rate, Proceedings of the 18th international conference on World wide web, April 20-24, 2009, Madrid, Spain
	Michael J. Brzozowski, WaterCooler: exploring an organization through enterprise social media, Proceedings of the ACM 2009 international conference on Supporting group work, May 10-13, 2009, Sanibel Island, Florida, USA
	Lars Backstrom , Jon Kleinberg , Ravi Kumar, Optimizing web traffic via the media scheduling problem, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, June 28-July 01, 2009, Paris, France