The Traceway event aimed at transferring experience and networking between programmers and senior developers in the field of artificial intelligence and machine learning was organized by Quera on December 14 at the Energy Faculty of Sharif University. At the beginning of the program, Mr. Tabrizi, CEO of Quera, gave a brief explanation about Quera startup and how to run the event.
In the first part of the presentations,Abbas Hosseini Technical Vice President of Tapsell explained about the three advertising software of Pegah company named MediaAd, Tapsell and Tagrow, how to display an advertisement related to each user by predicting the behavior of users in front of the various advertisements they see.
Second presentation by Ali Chalmaqaniartificial intelligence product manager at Cafe Bazar, and explained about natural language processing at Cafe Bazar (which has three software, Bazar, Divar, and Beled).
He stated that due to the importance of data and its processing in the current era and the number of one billion ActionLogs collected from users, about 40 to 50 data scientists are working in Cafe Bazaar.
A number of issues with text processing in Cafe Bazaar have been resolved so far. One of the solutions is chat wall, which is investigated and with the help of Unsupervised ML, the conversations were grouped into about 200 clusters and its topics were tagged. By using these clusters, disturbances caused in chats are identified and prevented.
The third presentation Nice message Data Scientist in Beled Router did a traffic story in Beled. He stated that the suggested routes are generated by receiving manual reports and also receiving GPS signals from users. These signals are placed on the correct routes displayed on the map using Map Matching.
One of the challenges is to estimate the speed of users when they enter the tunnel, and it is obtained by calculating the average speed at the beginning of entering the tunnel and the speed when leaving the tunnel.
The last presentation by the last presentation by Hamed Dehghani The data engineer from DigiKala was about recommender systems, which is now in DigiKala. Previously, third party systems were used, but now engineers have created an optimized system, leading to lower costs and better results.
At the end of the event, a short presentation was made by the startups Salam Cinema, Vakavik, and Virgul, and each of them gave a brief explanation of how they operate.
Networking was done in such a way that an address was recorded on the back of each person’s card, and people with similar signs sat at a table and answered a number of questions in order to get to know each other better.
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