2008 ASoftwareSystemforBuzzbasedReco

• (Nguyen et al., 2008) ⇒ Hill Nguyen, Nish Parikh, and Neel Sundaresan. (2008). “A Software System for Buzz-based Recommendations.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1402027

Subject Headings: Buzz-based Recommendation.

Cited By

• http://scholar.google.com/scholar?q=%22A+software+system+for+buzz-based+recommendations%22+2008
• http://portal.acm.org/citation.cfm?doid=1401890.1402027&preflayout=flat#citedby

Quotes

Abstract

In this paper, we present an outline of a software system for buzz-based recommendations. This system is based on a large source of queries in an eCommerce application. The buzz events are detected based on query bursts linked to external entities like news and inventory information. A semantic neighborhood of the chosen buzz query is selected and appropriate recommendations are made on products that relate to this neighborhood. The system follows the paradigm of limited quantity merchandizing, in the sense that on a per-day basis the system shows recommendations around a single buzz query with the intent of increasing user curiosity and promoting user activity and stickiness. The system demonstrates the deployment of an interesting application based on KDD principles applied to a high volume industrial context.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 ASoftwareSystemforBuzzbasedReco	Nish Parikh Neel Sundaresan Hill Nguyen			A Software System for Buzz-based Recommendations				10.1145/1401890.1402027