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Content Filtering Recommendation System project in Python.

Python project   Last updated on - July 4, 2021
python machine-learning deep-learning nlp best final-year-project
Ayush Pal
Ayush Pal
Python Java Data Science Machine Learning C Cpp HTML CSS JS 
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2196 View
67 Downloads
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In this page Content Filtering Recommendation System project is a web application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Content Filtering Recommendation System is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a jupyter notebook IDE. Following Python project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Ayush Pal. This web application 100% working smooth without any bug. It is developed using python and Database no. This software code helpful in academic projects and research paper for final year computer science. To download Content Filtering Recommendation System project in Python with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name

Content Filtering Recommendation System

Project Complexityadvanced
Duration15 Days
project ID6030
Developer NameAyush Pal
Publish DateJuly 4, 2021
project PlatformPython
Programming LanguageFor this particular Python project, python is required
Front EndGUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
Back EndPython, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
IDE Tooljupyter notebook
Database Integrationno
project Typeweb Application
No of project Download67
project Total View2196
Today Trends1
Current Month Trends16
Last Month Trends7

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File size 5.1939 MB

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File size 1.1658 MB

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Features of the Content Filtering Recommendation System project

We will implement the following feature in the Python Content Filtering Recommendation System Project:
A very good recommendation system built using python in jupyter notebook that recommends similar items to users using collaorative filtering.

User modules and function of Content Filtering Recommendation System

We will implement the following functionalities in the Python Content Filtering Recommendation System Project:

Software requirement to run this project

Install latest Python for Windows / Mac / Linux. IDE for python : PyCharm, Visual Studio Code, Sublime Text, Spyder, Thonny, Atom, IDLE, Emacs, Jupyter, PyDev, Vim, Visual Studio, Eclipse, PyDev, Eric, Code editing, PyScripter DBMS : MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server As per Project requriments.

Hardware requirement to run this project

1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for high preforms.

How to install the project?

After you finish downloading the project, unzip the project file.

How to import database?

Why a download Content Filtering Recommendation System project from kashipara?

Downloading the Content Filtering Recommendation System project from Kashipara is a best choice for students, beginners, and developers looking for a reliable, well documented, and ready to use project in Python.

Top benifit to Download our project over other website:

  • Our Content Filtering Recommendation System Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
  • Free Download our Content Filtering Recommendation System projects.
  • Comprehensive Documentation:
    • We provide project Synopsis
    • Content Filtering Recommendation System project Abstract in PDF and PPT formats download in reports.
    • Detailed Project Report
  • UML & Technical Diagrams Included:
  • This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
  • 100% Working Project – Tested and bug free.
  • Developed for Learning & Research – A strong foundation for building advanced Content Filtering Recommendation System applications

How to create diagram?

Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

Content Filtering Recommendation System project output screen

output screen

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