Efficient Recommender Systems

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	Similar Articles Articles by Dirk Bergemanm Articles by Deran Ozmen

The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)

San Francisco, CA

June 26-June 29

ISBN: 0-7695-2511-3

	ASCII Text	x
	Dirk Bergemanm, Deran Ozmen, "Efficient Recommender Systems," E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on, pp. 41, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006.

	BibTex	x
	@article{ 10.1109/CEC-EEE.2006.42, author = {Dirk Bergemanm and Deran Ozmen}, title = {Efficient Recommender Systems}, journal ={E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2511-3}, pages = {41}, doi = {http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2006.42}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on TI - Efficient Recommender Systems SN - 0-7695-2511-3 SP EP A1 - Dirk Bergemanm, A1 - Deran Ozmen, PY - 2006 KW - null VL - 0 JA - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on ER -

Dirk Bergemanm, Yale University

Deran Ozmen, Yale University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2006.42

We study the efficient allocation of buyers in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertainty for the customers and hence (ii) its recommendations can be offered as add-ons, which generates informational externalities. We investigate the impact of these factors on the efficient allocation of buyers across different products. We find that the efficient allocation requires that the seller with the recommender system has full market share. If the recommender system is sufficiently effective in reducing uncertainty, it is optimal to have some products to be purchased by a larger group of people than others. The large group consists of customers with flexible tastes.

Citation:

Dirk Bergemanm, Deran Ozmen, "Efficient Recommender Systems," cec-eee, pp.41, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006

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