RecLab Prize On Overstock.com - Revision history

Zeno Gantner at 11:17, 30 November 2011

2011-11-30T11:17:32Z

Zeno Gantner: Category: Event

2011-11-18T16:10:38Z

Category: Event

Zeno Gantner at 16:19, 31 August 2011

2011-08-31T16:19:07Z

Zeno Gantner at 16:05, 31 August 2011

2011-08-31T16:05:06Z

Zeno Gantner at 16:01, 31 August 2011

2011-08-31T16:01:10Z

Zeno Gantner at 08:32, 7 June 2011

2011-06-07T08:32:45Z

Vengroff at 16:18, 12 May 2011

2011-05-12T16:18:57Z

Vengroff: A $1 million contest that gives entrants a chance to run their recommender systems against live traffic on Overstock.com using RichRelevance's cloud infrastructure.

2011-05-12T16:15:27Z

A $1 million contest that gives entrants a chance to run their recommender systems against live traffic on Overstock.com using RichRelevance's cloud infrastructure.

New page

'''What it Is:''' The RecLab Prize on Overstock.com provides a cash award totaling up to $1 million to the researcher or research team who can achieve a measurable lift over existing product recommendations in a wide variety of shopping contexts on Overstock.com. Complete details about eligibility for registering and competing for the Prize are available at http://overstockreclabprize.com/.

'''Who it’s For:''' The RecLab Prize is open globally to all non-commercial teams. If the winning team is affiliated with an educational institution, Overstock.com and RichRelevance will provide a separate Institution Prize to the educational institution that sponsors the wining team.

'''How it Works:''' RecLab Prize contestants gain immediate access to a high-quality and comprehensive synthetic dataset via RichRelevance’s open source [[RecLab]] project. Top performing algorithms will be exposed to real data and run in real time within the RichRelevance cloud environment (as real product recommendations to Overstock.com’s customers).

'''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm—up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s)

'''When:''' The competition is currently open through December 1, 2011. Finalists are announced on Feb. 15, 2012 and the winning team will be unveiled on March 27, 2012.

@@ Line 7: / Line 7: @@
 '''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm — up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s) of the winners.
-'''When:''' The competition is currently open through December 1, 2011. Finalists are announced on February 15, 2012 and the winning team will be unveiled on March 27, 2012.
+'''When:''' The competition is currently open through March 1, 2012. Finalists are announced on May 16, 2012 and the winning team will be unveiled on June 18, 2012.
 == External links ==

← Older revision		Revision as of 16:10, 18 November 2011
Line 15:		Line 15:
	[[Category: Competition]]		[[Category: Competition]]
	[[Category: Product recommendation]]		[[Category: Product recommendation]]
		+	[[Category: Event]]

@@ Line 7: / Line 7: @@
 '''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm — up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s) of the winners.
-'''When:''' The competition is currently open through December 1, 2011. Finalists are announced on Feb. 15, 2012 and the winning team will be unveiled on March 27, 2012.
+'''When:''' The competition is currently open through December 1, 2011. Finalists are announced on February 15, 2012 and the winning team will be unveiled on March 27, 2012.
 == External links ==
 * http://overstockreclabprize.com/
 [[Category: Competition]]
 [[Category: Product recommendation]]

@@ Line 5: / Line 5: @@
 '''How it Works:''' RecLab Prize contestants gain immediate access to a high-quality and comprehensive synthetic dataset via [[RichRelevance]]’s open source [[RecLab]] project. Top performing algorithms will be exposed to real data and run in real time within the RichRelevance cloud environment (as real [[product recommendation]]s to Overstock.com’s customers).
-'''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm — up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s)
+'''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm — up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s) of the winners.
 '''When:''' The competition is currently open through December 1, 2011. Finalists are announced on Feb. 15, 2012 and the winning team will be unveiled on March 27, 2012.

← Older revision		Revision as of 16:01, 31 August 2011
Line 1:		Line 1:
−	'''~~What it Is:''' The~~ RecLab Prize on Overstock.com provides a cash award totaling up to $1 million to the researcher or research team who can achieve a measurable lift over existing product recommendations in a wide variety of shopping contexts on Overstock.com~~. Complete details about eligibility for registering and competing for the Prize are available at http://overstockreclabprize.com/~~.	+	The '''RecLab Prize on Overstock.com''' provides a cash award totaling up to $1 million to the researcher or research team who can achieve a measurable lift over existing product recommendations in a wide variety of shopping contexts on Overstock.com.

	'''Who it’s For:''' The RecLab Prize is open globally to all non-commercial teams. If the winning team is affiliated with an educational institution, Overstock.com and RichRelevance will provide a separate Institution Prize to the educational institution that sponsors the wining team.		'''Who it’s For:''' The RecLab Prize is open globally to all non-commercial teams. If the winning team is affiliated with an educational institution, Overstock.com and RichRelevance will provide a separate Institution Prize to the educational institution that sponsors the wining team.

@@ Line 1: / Line 1: @@
-'''What it Is:''' The RecLab Prize on Overstock.com provides a cash award totaling up to $1 million to the researcher or research team who can achieve a measurable lift over existing product recommendations in a wide variety of shopping contexts on Overstock.com. Complete details about eligibility for registering and competing for the Prize are available at  http://overstockreclabprize.com/.
+'''What it Is:''' The RecLab Prize on Overstock.com provides a cash award totaling up to $1 million to the researcher or research team who can achieve a measurable lift over existing product recommendations in a wide variety of shopping contexts on Overstock.com. Complete details about eligibility for registering and competing for the Prize are available at http://overstockreclabprize.com/.
 '''Who it’s For:''' The RecLab Prize is open globally to all non-commercial teams.  If the winning team is affiliated with an educational institution, Overstock.com and RichRelevance will provide a separate Institution Prize to the educational institution that sponsors the wining team.
-'''How it Works:''' RecLab Prize contestants gain immediate access to a high-quality and comprehensive synthetic dataset via RichRelevance’s open source [[RecLab]] project. Top performing algorithms will be exposed to real data and run in real time within the RichRelevance cloud environment (as real product recommendations to Overstock.com’s customers).
+'''How it Works:''' RecLab Prize contestants gain immediate access to a high-quality and comprehensive synthetic dataset via [[RichRelevance]]’s open source [[RecLab]] project. Top performing algorithms will be exposed to real data and run in real time within the RichRelevance cloud environment (as real [[product recommendation]]s to Overstock.com’s customers).
-'''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm—up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s)
+'''Judging:''' Entries will be judged by a Peer Review Committee. The winning team will receive a cash prize of $100,000 USD multiplied by the percentage that the entrant’s algorithm performed over RichRelevance’s algorithm — up to a maximum amount of $1,000,000. Should the winning team be affiliated with an educational institution, 25% of the winning prize (funded separately from the Team Winner’s Prize) can be allocated to the educational institution(s)
 '''When:''' The competition is currently open through December 1, 2011. Finalists are announced on Feb. 15, 2012 and the winning team will be unveiled on March 27, 2012.
-[[Category:Competition]]
+== External links ==

← Older revision		Revision as of 16:18, 12 May 2011
Line 8:		Line 8:

	'''When:''' The competition is currently open through December 1, 2011. Finalists are announced on Feb. 15, 2012 and the winning team will be unveiled on March 27, 2012.		'''When:''' The competition is currently open through December 1, 2011. Finalists are announced on Feb. 15, 2012 and the winning team will be unveiled on March 27, 2012.
		+
		+	[[Category:Competition]]