My.News – an innovative mobile aggregator that provides users with up-to-date and personalized news, articles, and posts from a multitude of reliable sources, updated every 5 minutes.
About Product
The mobile application offers an intelligent news delivery algorithm, allowing the user to receive the most relevant and necessary information in line with their interests and preferences. The news feed is curated from all major news publications that publish news, analytical, and entertainment content. The platform gathers materials from authoritative websites and publications, ensuring a diversity of viewpoints and the reliability of the information presented. Users have full capabilities to customize both the visual aspect and the content itself.»
Client’s goal
The goal of the product is to provide users with reliable and current information, organized and personalized for maximum convenience, as well as to attract and retain an audience through high-quality content.
Business challenges
- Implementation of a modern, appealing, and adaptive interface that caters to the broadest audience of news enthusiasts.
- Aggregation and filtering of a large volume of information in real-time.
- Development of an algorithm for content personalization that considers user preferences and interests.
- Ensuring the reliability and timeliness of the information presented.
- Attracting and retaining users in the face of high competition in the news aggregator market.
Key results
- Significant increase in reach due to the system’s adaptability, high relevance, and diverse content.
- Increased user satisfaction levels.
- Improvement in the quality and relevance of the information provided
Our Solutions
- Development and implementation of a scalable system for aggregating and processing news in real-time.
- Application of machine learning to create a personalization algorithm that takes into account individual user preferences.
- Constant improvements in readability and quality of the materials presented.
- Implementation of strict criteria and procedures for source verification.
- Analysis of behavioral responses and optimization of the user interface to retain the audience.
Achievements
- Successful partnership with leading news agencies and publications.
- Implementation of machine learning technologies for content selection optimization, which is a crucial step in the development of the product’s technological base.
Technology stack
Programming Languages and Libraries:
- TypeScript
- Python
- React Native
- Redux + Rematch
- TensorFlow
Database Management Systems:
Messaging and Notification:
- RabbitMQ
- Firebase Cloud Messaging
Data Search:
Team
- 1 PM
- 2 Disigners
- 1 UI
- 1 Backend devs
- 2 React Native devs
- 1 Devops
- 1 Editor
- 1 QA
