Gravity R&D

The Gravity R&D Company
Private
Industry Software
Founded 2007 (2007)
Headquarters Budapest, Hungary
Number of locations
 Turkey, Japan, Indonesia, Vietnam, Romania, Győr
Area served
 Worldwide
Key people

Domonkos Tikk (CEO & Co-founder)
Gábor Tóth (Head of Marketing and Sales at Gravity R&D, Managing Director at Gravity B&M)
Viktor Gerő (Member of the board)
Bottyán Németh (Product Owner, co-founder)

István Pilászy (Head of Development, co-founder)
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,[1] Founders
Number of employees
 40
Website gravityrd.com
yusp.com

Gravity R&D (full name: Gravity Research & Development Zrt.) is an IT vendor specialized in recommender systems. Gravity was founded by members of the Netflix Prize team "Gravity".

Gravity is headquartered in Hungary (Budapest & Győr) with local offices in Turkey, Japan, Indonesia, Vietnam, and Romania.

History

Netflix Prize

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.[2]

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.[3]

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.[4] "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.[5][6]

Details on the algorithms developed by the Gravity team can be found in their scientific publications.[7][8][9] Some algorithms are patented in the US.[10]

The data mining team of the company is actively doing research in the field of recommender systems and publish their recent results regularly.[11][12][13][14][15][16][17][18]

Early years

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,[2] former Managing Director of Duquesque Capital[29]), 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).

Yusp

Gravity R&D extended its product portfolio in 2015 by introducing its automated, turn-key recommender system YUSP for small and medium enterprises (SMEs).

Gravity B&M

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[19] 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

Clients

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.[29] Gravity serves in April 2016 over 4 billion recommendations per month to its customers, with an estimated 30+ million dollars extra revenue per month.[30]

Gravity has numerous notable clients including Gittigidiyor (Ebay Turkey), Dailymotion,[31] RCI,[32] Naspers (eMag,[33] Allegro,[34] Vatera), Tiki.vn, Schibsted Media Group (muday.my, tutti.ch).

References

  1. ↑ "How Hedge Funds Rate Wall Street Analysts, 2003".
  2. ↑ Hafner, Katie (June 4, 2007). "Netflix Prize Still Awaits a Movie Seer". The New York Times. Retrieved 2010-03-07.
  3. ↑ "The Ensemble". 2009-07-25.
  4. ↑ "Grand Prize awarded to team BellKor’s Pragmatic Chaos". Netflix Prize Forum. 2009-09-21.
  5. ↑ Steve Lohr (2009-09-21). "A $1 Million Research Bargain for Netflix, and Maybe a Model for Others". New York Times.
  6. ↑ "Mátrixfaktorizáció egymillió dollárért". Index. 2009-08-07.
  7. ↑ Takács, G. B.; Pilászy, I. N.; Németh, B. N.; Tikk, D. (2007). "Major components of the gravity recommendation system". ACM SIGKDD Explorations Newsletter. 9 (2): 80. doi:10.1145/1345448.1345466.
  8. ↑ Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk (2007), "On the Gravity Recommendation System" (PDF), in Gábor Takács and István Pilászy and Bottyán Németh and Domonkos Tikk, Proc. KDD Cup Workshop at SIGKDD (PDF), San Jose, California, pp. 22–30, retrieved 2010-04-15
  9. ↑ Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk (2009), Scalable Collaborative Filtering Approaches for Large Recommender Systems (PDF)
  10. ↑ US patent 8676736, Pilaszy, et al., "Recommender systems and methods using modified alternating least squares algorithm", issued 2014-03-18
  11. ↑ István Pilászy, Domonkos Tikk (2009), Recommending new movies: even a few ratings are more valuable than metadata
  12. ↑ István Pilászy, Dávid Zibriczky, Domonkos Tikk (2010), Fast ALS-based matrix factorization for explicit and implicit feedback datasets
  13. ↑ Gábor Takács, István Pilászy, Domonkos Tikk (2011), Applications of the conjugate gradient method for implicit feedback collaborative filtering
  14. ↑ Balázs Hidasi, Domonkos Tikk (2012), Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback
  15. ↑ Gábor Takács, Domonkos Tikk (2012), Alternating least squares for personalized ranking
  16. ↑ Balázs Hidasi, Domonkos Tikk (2013), Context-aware item-to-item recommendation within the factorization framework
  17. ↑ Alan Said, Domonkos Tikk, Paolo Cremonesi (2014), Benchmarking
  18. ↑ Balázs Hidasi, Domonkos Tikk (2014), Approximate modeling of continuous context in factorization algorithms
  19. ↑ "Deloitte appears on the market with a new service technology portfolio". 2016-08-24 – via Trademagazin.
  20. ↑ "ACM Recommender Systems 2008 - Home". Recsys.acm.org. 2008-10-23. Retrieved 2010-05-02.
  21. ↑ "Strands Blog " Instant personalized TV entertainment developer, Gravity R&D, winner of the Strands $100k Call for Recommender Start-Ups". Blog.strands.com. Retrieved 2010-05-02.
  22. ↑ http://www.supertext.ch/info/wp-content/themes/supertext/images/news/redherring_europe_finalists_2009.pdf
  23. ↑ "Europe Unlimited". E-unlimited.com. 1999-12-04. Retrieved 2010-05-02.
  24. ↑ "ICMA Innovation Award 2012". ICMA. Retrieved 4 May 2012.
  25. ↑ "RecSys 2012 - Awards and Honorable Mentions".
  26. ↑ "CrowdRec".
  27. ↑ "GravityRD, Intellisen, Maven7 and Prezi are Showing the Innovation Potential of the V4 region".
  28. ↑ "Technology Fast 50 Central Europe 2015" (PDF). Deloitte.com. 2015.
  29. ↑ "Netflix Prize Runner-up unveils programming recommendations technology". ITVT. 2010-04-13.
  30. ↑ "Lessons learnt at building recommendation services at industry scale". Slideshare. 2016-03-04.
  31. ↑ "Előre megmondják, hogy milyen videót fogsz nézni". index.hu. 2014-08-29.
  32. ↑ Know What They Like, Recommend What They Want, RCI Ventures, March 2012
  33. ↑ "eMag Gravity implinit colaborare". www.cristianchinabirta.ro. 2016-03-03.
  34. ↑ "Gravity R&D, the Leading Personalization Provider, Partners With E-commerce Operator Allegro". 2015-06-29 – via PR Newswire.

Coordinates: 47°29′38″N 19°07′21″E / 47.494013°N 19.122559°E / 47.494013; 19.122559


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.