recommender-tutorial | An introduction to recommendation systems in Python | Recommender System library

 by   topspinj HTML Version: Current License: BSD-3-Clause

kandi X-RAY | recommender-tutorial Summary

kandi X-RAY | recommender-tutorial Summary

recommender-tutorial is a HTML library typically used in Artificial Intelligence, Recommender System applications. recommender-tutorial has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An introduction to recommendation systems in Python
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              recommender-tutorial has a low active ecosystem.
              It has 140 star(s) with 65 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of recommender-tutorial is current.

            kandi-Quality Quality

              recommender-tutorial has 0 bugs and 0 code smells.

            kandi-Security Security

              recommender-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              recommender-tutorial code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              recommender-tutorial is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              recommender-tutorial releases are not available. You will need to build from source code and install.
              It has 13834 lines of code, 2 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            recommender-tutorial Key Features

            No Key Features are available at this moment for recommender-tutorial.

            recommender-tutorial Examples and Code Snippets

            No Code Snippets are available at this moment for recommender-tutorial.

            Community Discussions

            QUESTION

            '<' not supported between instances of 'method' and 'method' - Python, Django
            Asked 2018-Aug-20 at 12:24

            I'm trying to do Winerama Recommender Tutorial . I met a error which I can't solve. When I try to go to the tab 'recommendation list' the browser returned the following error.

            Error

            ...

            ANSWER

            Answered 2018-Aug-20 at 11:38

            The sorted() function accepts function key that returns value. Seems like x.average_rating is method, not the value. So you have 2 choices

            • add () after x.average_rating
            • convert x.average_rating to property

            Source https://stackoverflow.com/questions/51929887

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

            Vulnerabilities

            No vulnerabilities reported

            Install recommender-tutorial

            You can download it from GitHub.

            Support

            Unlike explicit feedback (e.g., user ratings), implicit feedback infers a user's degree of preference toward an item by looking at their indirect interactions with that item. In this tutorial, we will investigate a recommender model that specifically handles implicit feedback datasets. Python 3.6+, Jupyter Lab, numpy, pandas, implicit.
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            CLONE
          • HTTPS

            https://github.com/topspinj/recommender-tutorial.git

          • CLI

            gh repo clone topspinj/recommender-tutorial

          • sshUrl

            git@github.com:topspinj/recommender-tutorial.git

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