Git Product home page Git Product logo

article-recomendation-and-review's Introduction

FINAL PROJECT: " Recomendation System and Review", COURSE MACHINE LEARNING TERAPAN DICODING

The dataset used in this report contains information on user activity in sharing and reading articles. This data is taken from Deskdrop, an internal article sharing platform for the CI&T team. This dataset contains information about users, articles shared and read, and activity times.

By using 2 models, namely Content Based Filtering and Collaborative Filtering and in the evaluation stage used Top-N accuracy metrics. From the evaluation results in getting better model results is Collaborative Filtering. And at the testing stage, the results are quite accurate on Top N article recommendations.

CERTIFICATE MACHINE LEARNING TERAPAN DICODING

article-recomendation-and-review's People

Contributors

awangnugrawan avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.