Every year prudsys AG, a company specializing in real-time personalization, calls on students from all over the world to test their expertise in the field of intelligent data analysis (data mining). As in previous years, the task of the competition was to solve a real-world problem.
The challenge
Competitors were to take anonymized historical order data with associated coupon generation from a real online shop and use it to develop a prediction model. With the help of this model, it would be possible to make predictions for new orders including their shopping basket values and redeemed coupons.
Participant record
188 teams from a total of 153 universities from 48 countries took part in this student competition and set a new participant record. Each educational institution was allowed to participate with two teams. As part of the prudsys personalization summit, from 29 to 30 June at andel’s Hotel in Berlin, the best up-and-coming analysts at the DATA MINING CUP were awarded prizes. The prudsys personalization summit is the key event for news and trends in the field of dynamic omni-channel personalization in retail. Numerous well-known companies such as Coop, bonprix and Douglas took part in the conference at andel's Hotel in Berlin.
Winning teams
Team 2 from the Humboldt University of Berlin took first place, claiming a cash award of €2000. Team 1 from HU Berlin took sixth place. 2nd and 3rd place went to Teams 2 and 1 of last year’s winner from Iowa State University (USA), respectively taking home €1000 and €500. Rounding out the top ten teams were teams from the Swiss Federal Institute of Technology in Lausanne, the Indonesian Gadjah Mada University (Team 2), the Philipps University of Marburg (Team 1), the Technical University of Dortmund (Team 1) and the Karlsruhe Institute of Technology (Team 1). That was a total of three international universities in the top ten.
More information about the DATA MINING CUP under: www.data-mining-cup.com
The challenge
Competitors were to take anonymized historical order data with associated coupon generation from a real online shop and use it to develop a prediction model. With the help of this model, it would be possible to make predictions for new orders including their shopping basket values and redeemed coupons.
Participant record
188 teams from a total of 153 universities from 48 countries took part in this student competition and set a new participant record. Each educational institution was allowed to participate with two teams. As part of the prudsys personalization summit, from 29 to 30 June at andel’s Hotel in Berlin, the best up-and-coming analysts at the DATA MINING CUP were awarded prizes. The prudsys personalization summit is the key event for news and trends in the field of dynamic omni-channel personalization in retail. Numerous well-known companies such as Coop, bonprix and Douglas took part in the conference at andel's Hotel in Berlin.
Winning teams
Team 2 from the Humboldt University of Berlin took first place, claiming a cash award of €2000. Team 1 from HU Berlin took sixth place. 2nd and 3rd place went to Teams 2 and 1 of last year’s winner from Iowa State University (USA), respectively taking home €1000 and €500. Rounding out the top ten teams were teams from the Swiss Federal Institute of Technology in Lausanne, the Indonesian Gadjah Mada University (Team 2), the Philipps University of Marburg (Team 1), the Technical University of Dortmund (Team 1) and the Karlsruhe Institute of Technology (Team 1). That was a total of three international universities in the top ten.
More information about the DATA MINING CUP under: www.data-mining-cup.com
