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Recommendation Systems case studies

Since 2014, the LaSoft team has been implementing digital transformation services for insurance, telecommunication, human resources, recruitment, marketing, healthcare, real estate, education, sports tech, and other industries.

Recommendation systems are systems developed to suggest relevant items to users (text to read, movies to watch, products to buy, or something else depending on industry). The purpose of a recommendation system is to suggest the relevant items to users and help them identify what they are looking for to save a lot of time. They're extremely important in some industries as they can generate a large amount of income when they are efficient or also be a way to stand out significantly from competitors. To provide relevant choices for users, there are such categories of methods: collaborative filters, content-based method, and a classification model.

The Spoke

  • USA flag
  • Web Development
  • Mobile Design
  • Product Design
The SpokeThe Spoke

The Spoke is a massive user portal with personal lists of movies, dishes, festivals, fun & games and other entertainment topics, which users can keep in a safe place and share with their friends. The Spoke works like Spotify, where users can create or follow any list.

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The SpokeThe Spoke

AgeLine

  • USA flag
  • Web Development
  • Mobile Design
  • Product Design
AgeLineAgeLine

Age Line is a massive user portal that helps seniors find places that are free of ageism and are forward-thinking with regard to giving practical answers to problems faced by older adults. Age Line is intended to be an open-sourced set of solutions to an aging society’s challenges.

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AgeLineAgeLine

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