Movies Recommendations System Data
A Corpus of Wikipedia Information
By [source]
About this dataset
This dataset offers an in-depth exploration of articles related to movies, video games, and wines. It comes equipped with valuable information such as the titles, sections and expert-based recommendations for each topic. With this dataset at your fingertips, you can gain insights into historical and cultural trends within the categories or undertake research on a certain topic of interest. Whether you are looking for entertainment or material to help develop theories and ideas, this comprehensive collection provides ample opportunity for data analysis and deep learning
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How to use the dataset
This dataset contains titles, sections and expert-based recommendations for movies, video games and wines. It consists of two datasets - movies.csv and video_games.csv respectively containing movie titles/sections as well as wines.csv with wines/sections - that provide an overview of these respective categories with expert-based recommendations included in every row.
By using this dataset you can quickly get up to speed regarding the variety available in each category, having insight into the underlying information provided by experts on each row such as genres or production years for different products. You can also see the recommended ratings that might be useful to determine which items are most likely to be successful or worth investing in depending on your purpose or project at hand with relevant given data points providing an easy overview into these items’ features at a single glance.
Overall, this dataset provides a great source of information whether you are simply looking to broaden your knowledge about certain topics like movies or video games, planning new business ideas around any one of them or making more informed decisions about specific products related to said topics this quick and handy guide is for sure here to help you out!
Research Ideas
- Training a machine learning algorithm to automatically group similar articles, by their titles and sections.
- Using review data to create automated scores for movies and video games based on their title and sections in the article.
- Creating predictive models that suggest titles of wines given certain text information from sections within the dataset, such as tasting notes and descriptions
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: video_games.csv
| Column name |
Description |
| Title |
The title of the movie, video game, or wine. (String) |
| Sections |
The sections of the article related to the title. (String) |
File: wines.csv
| Column name |
Description |
| Title |
The title of the movie, video game, or wine. (String) |
| Sections |
The sections of the article related to the title. (String) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .