https://recsyswiki.com/api.php?action=feedcontributions&feedformat=atom&user=Vengroff 2026-04-18T21:55:56Z User contributions MediaWiki 1.34.2 https://recsyswiki.com/index.php?title=RecLab_Prize_On_Overstock.com&diff=369 2011-05-12T16:18:57Z

<p>Vengroff: </p> <hr /> <div>'''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/.<br /> <br /> '''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.<br /> <br /> '''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). <br /> <br /> '''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)<br /> <br /> '''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.<br /> <br /> [[Category:Competition]]</div>

Vengroff https://recsyswiki.com/index.php?title=RecLab_Prize_On_Overstock.com&diff=368 2011-05-12T16:15:27Z

<p>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.</p> <hr /> <div>'''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/.<br /> <br /> '''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.<br /> <br /> '''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). <br /> <br /> '''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)<br /> <br /> '''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.</div>

Vengroff https://recsyswiki.com/index.php?title=Workshop_on_Context-awareness_in_Retrieval_and_Recommendation&diff=121 2011-02-17T00:32:42Z

<p>Vengroff: Created page with &quot;CaRR 2011 was held on February 13, 2011 in Palo Alto, California. The aim of the CaRR Workshop was to invite the community to a discussion in which we will try to find new crea...&quot;</p> <hr /> <div>CaRR 2011 was held on February 13, 2011 in Palo Alto, California. <br /> <br /> The aim of the CaRR Workshop was to invite the community to a discussion in which we will try to find new creative ways to handle context-awareness. Furthermore, the workshop aimed at improving the exchange of ideas between different communities involved in research concerning, among other machine learning, information retrieval and recommendation.<br /> <br /> More details at the [http://www.dai-labor.de/carr2011/ CaRR 2011 Web Site].</div>

Vengroff