YACm 2015 - a short version for those who didn't manage to attend

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mdsojolh634
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YACm 2015 - a short version for those who didn't manage to attend

Post by mdsojolh634 »

A brief overview of the past conference and my subjective recommendations on what is worth watching. The recording is available at the link , inside the player you can select individual speeches. The topic of the conference is "Recommender systems, their impact on online services and interaction with users". Each report is approximately 20 minutes + 10 minutes for answers.

Program:

1. Recommendation technologies, Disco and Yandex.Radio (Viktor Lamburt, Yandex)
Introduction about recommendation technologies in general, about the recommendation system built in Yandex and the presentation of Yandex-radio. Considering that I didn't expect much from the introduction, the presentation is up to par and generally interesting (although quite generalized).

For those interested in Yandex's internal mechanisms for working with data.

Report rating: 4/5 (choir)
2. Data Science "on the knee" (Alexander Laryanovsky, Skyeng)
Definitely a worthwhile report. How to build a cool system for list of japan cell phone numbers collecting, analyzing and testing data on a small budget using the example of an English learning service. The project logic, approaches and metrics are described. Logical, interesting and useful. Watch.

Report rating - 5/5 (excellent)
3. Personal manager and other incarnations of Big Data in Beeline (Sergey Marin, Beeline)
The report is quite superficial and not very exciting. The only thing that impressed me was the epic amount of data that the mobile operator has and that they are trying to collect. You realize this in the background during the report.

Report rating: 3/5 (satisfactory)
4. Recommendations: Conversion without intrusion (Fedor Virin, Data Insight)
A good report with interesting figures about the analysis of the top online stores of the Russian Internet for recommendation features on the site (popular products, promotions, personal recommendations for products, upselling through the basket, etc.).
Brief summary: even among the tops (top 100, or top 250) in the Russian Internet, everything is not very developed, if you go lower - there are a lot of half-sites that sell only because someone with a normal store has not yet come to take its place. According to the author, 10-15% of the market can be easily squeezed out. Personally, I will 100% listen to the report again when I design a store site.

Report rating - 5/5 (excellent)
5. Offline conversion analysis (Alexey Avdeev, Calltouch)
The sales director of a call tracking service spoke well and confidently about the history of call tracking in general and the capabilities of his service in particular. After such a story, I would 100% contact him if I were interested in such services.
If you are interested in call tracking, you are a marketer or just curious about what it is - watch it. If you already know everything - there is probably no need to watch it. Overall, a quality report, just not relevant for everyone.

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Report rating: 4/5 (choir)
6. Can robots replace call center operators? (Dmitry Latansky, Repka.UA)
A story about how, in order to automate and reduce costs for a large store's call center, the operator was partially replaced by a robot. And not just an answering machine, but a program that can already coordinate orders and is already trying to make outgoing calls. An excellent case, I think many will soon do this. After the report, you understand that the work is the near future of the store operator, or rather his replacement. You just need to stock up on John Connor in time.

If this topic is relevant for you, be sure to watch it. And in general, it is recommended for general development.

The report won the vote by a large margin, the guy joked a lot and willingly and included funny examples of robot-human communication. It's really funny in places.

Rating of the report: 5/5 (excellent)
7. Recommender system as a means of achieving business goals (Konstantin Savenkov, Bookmate )
About improving business indicators with the help of recommendation systems using the example of Bookmate.com. More specifically, how to properly push books on a visitor so that he becomes a client of the service and how to increase the "lifespan" of a user and the efficiency of using the catalog with the help of correctly selected recommendations. And how all this leads to a reduction in the costs of attraction.
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