participants
Expo Union, which was established in 2003, is actively collaborating with government agencies, associations, and private sectors to organize professional exhibitions related to ecotechnologies, such as “Circular Economy Taiwan” and “Taiwan Water.” Besides, Expo Union hosted some International Medical Conferences and governmental conferences, such as FinTech Taipei 2018(Institute for Information Industry，III), Green Energy and Frontier products Expo 2018 (Academia Sinica),World Congress on Information Technology 2017 (Institute for Information Industry，III), Asia Pacific Academy of Ophthalmology Congress 2016(The Ophthalmological Society of Taiwan). Moreover, it has organized the Marathon Expo for the masses in recent years.
A successful Expo not only requires manpower from all fields with a variety of professional abilities, but also time and effort. Site planning, Exhibition affairs, tender process are equally important. Moreover, it is essential to provide customized and a high-quality design based on customers’ needs. Expo Union has profound experience in organizing international exhibitions and has the most professional team which pays attention to every detail. Last but not least, the company aims to creates maximum values by making all-out effort, professional work division, quality communication, and careful control on cost and time to organize an excellent campaign.
Computational Intelligence Technology Center (CITC) is the first big data R&D center to bridge the big data technology across industries in Taiwan. CITC aims to develop intelligent analytics technologies to boost Artificial Intelligence and big data core capabilities for local IT software companies, also to apply intelligent analytics to help the related industries to enhance their productivity and create new business opportunities. The cross-disciplinary approach enables CITC’s core technology capabilities to provide intelligent analytics and machine learning algorithms that industries need. CITC develops an open Artificial Intelligence and big data platform to create solutions that facilitate the innovative application for service design and business model for industries.
Crowd route is one of the most considerable part in the study of crowd behavior. It is not only the main reference on marketing events, but also a long-term concern of shops, department stores, exhibitions, and all kinds of campaigns.
By collecting and analyzing crowd routes, we can understand the preference and the staying time of the visitors, then make the best use of limited space and provide a more proper content for everyone. Based on the analysis result, we can optimize and customize campaigns by considering the preferences of certain target audiences. In practical applications scenarios, crowd route analysis can also be used to identify potential visitors and send push notifications.
The data of this topic is a random sampling of 2018 Marathon Expo, each sample had been classified into five different visiting route groups. The focus of this challenge is to train and build a favorable strategic model to correctly label visitor type by using such a great amount of route combinations.
First place: 100,000 discount points of hicloud
Second place: 50,000 discount points of hicloud
Third place: 50,000 discount points of hicloud
Honorable mention: 50,000 discount points of hicloud (multiple winners, depends on the final result)
* Rewards were provided by Chunghwa Telecom
Notes:
1. Hicloud points can redeem service charge. After the discount, the price will be charged at 30% off based on the list price automatically.
2. Chunghwa Telecom deserves the right to make changes to the terms and conditions herein.
3. The example of discount points calculation can be referred to https://aidea-web.tw/computing
The activity time will based on Taiwan Standard Time (UTC+8), and the schedule is as follows.
| Time | Event |
|---|---|
| 2019/07/16 | Registration begins |
| 2019/09/30 | Upload deadline |
| 2019/10/07 | Awards announcement |
After the participants provide the Category forecast of Marathon Expo visiting route, the system would process them in batches regularly to calculate the score.
Evaluations are conducted by extracting predictive probability that is in the accurate category of selected test samples, thus calculating the sum of the logarithms and the final mean value.
The formula is as follows,
$$ logloss \; = \; - \frac{1}{N} \; { \sum_{i=1}^{N} \; { \sum_{j=1}^{M} \; { y_{ij} \log({p_{ij}}) }}} $$
N: Number of samples
M: Number of categories
Yij: Whether it is an early-warning category
Pij: The probability forecast of selected samples which is in the accurate category
