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@open-recommendation-butler

Open Recommendation Butler

Open Recommendation Butler is an open source project to enhance search for publishers.

Open Recommendation Butler - Find what feels missing

Good search is complex to implement. Every day media houses loose traffic to Google. This open source project is an easy to implement state of the art AI powered search engine for media houses.

🌐 Demo: Check out the power

📑 Docs: Get started in a few minutes

Key Features

This open source project provides the following state of the art search functionality:

  • Fuzzy Search
  • "Did you mean?" correction of misspelled queries
  • Filters for custom categories
  • Similar search request recommendations
  • Boosting of paid content
  • Time sensitive search
  • Auto complete
  • Topic Modeling Search structuring the results

Advantages

Repository index

Here's a brief guide to the repositories and what's inside:

  • 🔎 Backend: Main repository with the AI powered search backend
  • 📱 Frontend: Slim, modern, customizable search frontend written with React
  • 📚 Tutorials: Repository including tutorials using Open Recommendation Butler
  • 📑 Docs: Repository including the documentation

Sponsors

This project is kindly funded and supported by:

Media Tech Lab by Media Lab Bayern (@media-tech-lab)

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  1. orb-backend orb-backend Public

    Open Recommendation Butler helps news readers to find information faster by developing an open source toolbox knowledge-based thematic recommendations and search results.

    Python 3 1

Repositories

Showing 6 of 6 repositories

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