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|Human Resources, Telecom||User projects|
Online hiring platform.
The core value and feature of the product is search (for jobs etc.)
The client had 20GB+ historic data, and the goal of the project was to identify those users that:
(a) Might be interested in receiving the job posting as a push recommendation and (b) that are also appropriate candidates for the given job
A set of relevant modeling features was created: features that describe similarity (e.g., match user vs. job industry, career level, etc.; calculate the job title vs. user roles similarity, etc.), temporal features (e.g., capturing a user’s behavior activities in a recent time window, etc.). The dataset was labeled based on the user’s reaction, including cases when the user did not click on a recommended post. Classification + regression methods were used to distinguish and rank jobs to be recommended to users.
Client-reported increased search queries and a positive outcome. Search quality greatly influences customer perception of overall product quality.
And one more great thing about the project was that this is a fast feature – shipped within 2 months.
Churn of business customersA telco provider approached SmartCat to improve existing churn model that telco internal team had been developed. The problem refers to detecting companies (group contract) that are likely to stop using provider services. Find out what we did!
FAQ chatbot with back-officeIt is all about the user interface. The goal of each business is to provide an appealing interface which is clever enough and which can work on its own for the majority of cases. The client approached us with an idea to create a chatbot solution that is able to automate responses and keep control when needed.