Summary of "How to Build a Content-Based Recommendation System using Python | Easy Understanding | NLP"
The video discusses how to build a content-based recommendation system using Python, with a focus on natural language processing (NLP). The subtitles cover various aspects of recommendation systems, including their importance, working principles, and methodologies. Here are the main points summarized:
- Introduction to content-based recommendation systems
- Importance of recommendation systems in various online platforms
- Parameters used in recommendation systems
- Building a recommendation system for movies
- Utilizing a vector space model for recommendations
- Calculating similarity between movies
- Using matrix transformations for data analysis
- Developing basic functions and recommendations
- Extracting data and generating movie recommendations
- Providing a list of top ten movies based on user preferences
Speakers/sources featured
- Mohammed Ahmed
- Vikram
- Ashish Jain
- Vivek Roy
- Pandey SP Leaders
- Pradeep Gautam
- John Rathore
- Sudhir Verma
Category
Educational
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