Saturday, October 29, 2011
Friday, October 28, 2011
Tuesday, October 11, 2011
company list
- Ace Info Solutions
- gv contractor
- © 2011 Ace Info Solutions, Inc., 11490 Commerce Park Drive, Suite 340 Reston, Virginia 20191 info@aceinfosolutions.com
For new business opportunities, email marketing@aceinfosolutions.com Tel: (703) 391-2800 Fax: (703) 391-2833 - Gold Systems
- Gold Systems develops custom applications that make it easier for your customers to reach you and for your employees to collaborate, by incorporating award-winning speech technology with the unified communications tools in Microsoft Lync.
- Leadership Practices
- exkurs (fraglich)
- Model the Way
Inspire a Shared Vision
Challenge the Process
Enable Others to Act
Encourage the Heart - List Innovative Solutions
- Phase One Consulting
- SONA Networks
- Systalex
- SOMAT Engineering
- TAPE
Saturday, July 30, 2011
Saturday, June 11, 2011
Towards a theory model for product search
from gregs blog http://glinden.blogspot.com/2011/05/quick-links.html
see link http://portal.acm.org/citation.cfm?id=1963453
abstract [
With the growing pervasiveness of the Internet, online search for products and services is constantly increasing. Most product search engines are based on adaptations of theoretical models devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is different than the process of locating relevant documents or objects.
We propose a theory model for product search based on expected utility theory from economics. Specifically, we propose a ranking technique in which we rank highest the products that generate the highest surplus, after the purchase. In a sense, the top ranked products are the "best value for money" for a specific user. Our approach builds on research on "demand estimation" from economics and presents a solid theoretical foundation on which further research can build on. We build algorithms that take into account consumer demographics, heterogeneity of consumer preferences, and also account for the varying price of the products. We show how to achieve this without knowing the demographics or purchasing histories of individual consumers but by using aggregate demand data. We evaluate our work, by applying the techniques on hotel search. Our extensive user studies, using more than 15,000 user-provided ranking comparisons, demonstrate an overwhelming preference for the rankings generated by our techniques, compared to a large number of existing strong state-of-the-art baselines.
]
want to buy?
i do some google searches and find a reference to the conference paper here: http://www.www2011india.com/proceeding/proceedings/p327.pdf
see link http://portal.acm.org/citation.cfm?id=1963453
abstract [
With the growing pervasiveness of the Internet, online search for products and services is constantly increasing. Most product search engines are based on adaptations of theoretical models devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is different than the process of locating relevant documents or objects.
We propose a theory model for product search based on expected utility theory from economics. Specifically, we propose a ranking technique in which we rank highest the products that generate the highest surplus, after the purchase. In a sense, the top ranked products are the "best value for money" for a specific user. Our approach builds on research on "demand estimation" from economics and presents a solid theoretical foundation on which further research can build on. We build algorithms that take into account consumer demographics, heterogeneity of consumer preferences, and also account for the varying price of the products. We show how to achieve this without knowing the demographics or purchasing histories of individual consumers but by using aggregate demand data. We evaluate our work, by applying the techniques on hotel search. Our extensive user studies, using more than 15,000 user-provided ranking comparisons, demonstrate an overwhelming preference for the rankings generated by our techniques, compared to a large number of existing strong state-of-the-art baselines.
]
want to buy?
i do some google searches and find a reference to the conference paper here: http://www.www2011india.com/proceeding/proceedings/p327.pdf
Wednesday, May 18, 2011
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