Number of locations
|Turkey, Japan, Indonesia, Vietnam, Romania, Győr|
|Products||YUSP, RECO for e-commerce, RECO for Bricks & Mortar Retailers, Retail Banks, and Telecommunications Companies|
|Services||IT Services, Personalization, SaaS|
|Owner||Hungarian institutional strategic investors, Wojciech Uzdelewicz, Founders|
Number of employees
The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings. The prize would be awarded to the team achieving over 10% improvement over Netflix's own Cinematch algorithm.
The team "Gravity" was the front runner during January—May 2007.
The leading position was achieved again in October 2007 in collaboration with the team "Dinosaur Planet" under the name "When Gravity and Dinosaurs Unite".
In January 2009, the two teams founded "Grand Prize Team" to initiate even wider collaboration that resulted in being one of the leading teams throughout 2009.
On July 25, 2009 the team "The Ensemble", a merger of the teams "Grand Prize Team" and "Opera Solutions and Vandelay United", achieved a 10.10% improvement over Cinematch on the Quiz set.
On September 18, 2009, Netflix announced team "BellKor's Pragmatic Chaos" as the prize winner, and the prize was awarded to the team in a ceremony on September 21, 2009. "The Ensemble" team had in fact succeeded to match the winning "BellKor" team's result, but since "BellKor" submitted their results 20 minutes earlier, the rules award the prize to them.
In 2009 and 2011, Gravity R&D got 2 rounds of investments from include Hungarian institutional strategic investors, Wojciech Uzdelewicz (an all-star analyst at Wall Street according to hedge funds, former Managing Director of Duquesque Capital), and the financial investor PortfoLion.
Gravity R&D introduced in 2010 RECO, its cloud-based SaaS personalization solutions for online businesses (e-commerce, market places, classified media, publishers, etc).
Gravity R&D extended its product portfolio in 2015 by introducing its automated, turn-key recommender system YUSP for small and medium enterprises (SMEs).
In 2016 the firm expanded internationally and established new practice areas.
Through its own subsidiary called Gravity Bricks & Mortar, the company is developing and providing personalization and recommendation solutions to Retail and Supermarket Chains, Retail Banks and Telecommunications companies worldwide by closely cooperating professionally and commercially with its strategic partner Deloitte Hungary in the joint sale and implementation of the above mentioned solutions to whom it may be of interest. Deloitte Consulting was recently ranked by Gartner, IDC, and Kennedy as the leading consulting firm globally for the fifth consecutive year, named a leader in business transformation consulting by Forrester, and serves 90% of Fortune 500 companies.
Awards and recognition
- Winner of the first edition of the "Strands $100K Call for Recommender Start-ups" (October 24, 2008)
- "WINNER of the Red Herring 100 Europe" (April 3, 2009)
- Selected among "Europe's Top 25 Most Innovative Start-ups" at Eurecan European Venture Contest 2009 (EEVC). (December, 2009)
- Winner of the International Classified Media Association's "Show Me the Money" prize at the 2012 ICMA Innovation Award.
- 2012 ACM RecSys Honorable Mention 
- Member of the FP7 EU project CrowdRec
- Selected to represent Hungary in the V4 Google Summit on Digital Economy in September 2014, along with other Hungarian startups Prezi, Maven7, and Intellisense 
- Recipient of The 2015 Deloitte Technology Fast 50 in Central Europe award as the 2nd fastest growing startup in Hungary, and the 25th fastest growing startup overall in the CE region.
Gravity R&D has customers on 5 continents in more than 20 countries, among others in the US, Switzerland, Japan, Brazil, France, Poland, Romania, Hungary, Morocco, India, Vietnam, Indonesia, Malaysia, and Australia. Gravity serves in April 2016 over 4 billion recommendations per month to its customers, with an estimated 30+ million dollars extra revenue per month.
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- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk (2009), Scalable Collaborative Filtering Approaches for Large Recommender Systems (PDF)
- US patent 8676736, Pilaszy, et al., "Recommender systems and methods using modified alternating least squares algorithm", issued 2014-03-18
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- István Pilászy, Dávid Zibriczky, Domonkos Tikk (2010), Fast ALS-based matrix factorization for explicit and implicit feedback datasets
- Gábor Takács, István Pilászy, Domonkos Tikk (2011), Applications of the conjugate gradient method for implicit feedback collaborative filtering
- Balázs Hidasi, Domonkos Tikk (2012), Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback
- Gábor Takács, Domonkos Tikk (2012), Alternating least squares for personalized ranking
- Balázs Hidasi, Domonkos Tikk (2013), Context-aware item-to-item recommendation within the factorization framework
- Alan Said, Domonkos Tikk, Paolo Cremonesi (2014), Benchmarking
- Balázs Hidasi, Domonkos Tikk (2014), Approximate modeling of continuous context in factorization algorithms
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- Know What They Like, Recommend What They Want, RCI Ventures, March 2012
- "eMag Gravity implinit colaborare". www.cristianchinabirta.ro. 2016-03-03.
- "Gravity R&D, the Leading Personalization Provider, Partners With E-commerce Operator Allegro". 2015-06-29 – via PR Newswire.