Semantic-Recommender | 基于HNSW的语义专家推荐系统

 by   RyanLiGod Python Version: Current License: No License

kandi X-RAY | Semantic-Recommender Summary

kandi X-RAY | Semantic-Recommender Summary

Semantic-Recommender is a Python library. Semantic-Recommender has no bugs, it has no vulnerabilities and it has low support. However Semantic-Recommender build file is not available. You can download it from GitHub.

基于HNSW的语义专家推荐系统
Support
    Quality
      Security
        License
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            kandi-support Support

              Semantic-Recommender has a low active ecosystem.
              It has 7 star(s) with 2 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 384 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Semantic-Recommender is current.

            kandi-Quality Quality

              Semantic-Recommender has no bugs reported.

            kandi-Security Security

              Semantic-Recommender has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Semantic-Recommender does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Semantic-Recommender releases are not available. You will need to build from source code and install.
              Semantic-Recommender has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Semantic-Recommender and discovered the below as its top functions. This is intended to give you an instant insight into Semantic-Recommender implemented functionality, and help decide if they suit your requirements.
            • Get data from query
            • Set the energy of the model
            • Filter a list of tokens
            • Given a list of ids return a dictionary of author ids
            • Get a redis connection
            • Get the contents of a hash
            • Get tokens from txt
            • Filter text
            • Get most similar papers
            • Convert a list into a string
            • Build model from documentation
            • Build from a model
            • Get n most similar words
            • Finds the most similar elements in the given vector
            • Get words
            • Build from word2vec
            • Load index from file
            • Get the most similar document
            • Return a Flask application
            • Get the most similar documents
            • Get list of words
            • Get all keywords
            • Get the value for a hash
            Get all kandi verified functions for this library.

            Semantic-Recommender Key Features

            No Key Features are available at this moment for Semantic-Recommender.

            Semantic-Recommender Examples and Code Snippets

            No Code Snippets are available at this moment for Semantic-Recommender.

            Community Discussions

            No Community Discussions are available at this moment for Semantic-Recommender.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Semantic-Recommender

            You can download it from GitHub.
            You can use Semantic-Recommender like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/RyanLiGod/Semantic-Recommender.git

          • CLI

            gh repo clone RyanLiGod/Semantic-Recommender

          • sshUrl

            git@github.com:RyanLiGod/Semantic-Recommender.git

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