As we see in the technical field, data mining refers to a broadway of software tools and mathematical modeling techniques that are used to find patterns in data and use this information to model building. It describes the collection of analytical techniques that helps to build a recommendation model. Data mining processes are highly used for the building of machine learning models which include website recommendation programs and search engine technology. There are a few techniques in data mining as follows: Predictive Modeling, Descriptive Modeling, Pattern Mining, and Anomaly Detection. These are used for various purposes and the building of the different kinds of models. So today we are discussing the News Recommendation System. If you want to know more then read the whole project idea on Skyfi Labs.
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So here we will give exact project ideas with technologies used which will be helpful for the college projects. Basically the project is based on the recommendation concept. Yes, It is a News Recommendation System. We all use Youtube and we can see that it shows the related videos as per our viewing history or our subscribed channels. As like that this project also recommends the kind of news that you want to see.
You can develop the front end of the project with the Django framework which is a python based web development framework. You can simply use a SQL database for storing the data.
There are different modules created in the project as below:
When you search any article that does that, it uses the TF IDF algorithm and vector space model to recommend the articles related to the search. TF IDF algorithm is used for a better understanding of the concepts. For Example, if you search ‘Academic News’ Then it finds the news which contains the string-like academic which has a unique ID and shows you the documents related to it.
So this is a basic overview of the project.
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