Book Recommendation System (BookRecs) This project is a book recommendation service that suggests books based on a user's inputted genre and book titles. It's built upon a database of 7000 books retrieved from Kaggle. Using Ada v2 as the large language model, vector embeddings were created ...
This project is a book recommendation service that suggests books based on a user's inputted genre and book titles. It's built upon a database of 7000 books retrieved from Kaggle. Using openn AI Ada v2 as the large language model, vector embeddings were created with the Kaggle dataset to...
Book Recommendation System (BookRecs) This project is a book recommendation service that suggests books based on a user's inputted genre and book titles. It's built upon a database of 7000 books retrieved from Kaggle. Using Ada v2 as the large language model, vector embeddings were created ...
Building a book recommender system This is gonna be a similar code to the above but by applying it to a different dataset. I used thegoodbooks-10kdataset available on Kaggle. It contains ratings and books csv files. The first one contains rating data for 10,000 books rated by over 53,00...
best I have seen so far. The book has a lot of blurbs with interviews from Kagglers, which is the most entertaining part for me. In my opinion, these blurbs can be converted to another great book. In spite of the fact that this book is fantastic now, I expect it to become outdated...
For instance, in this book you'll learn how to create a recommendation system that can predict what products a user might purchase. This is often used in e-commerce, such as to customize products shown on a home page by showing the highest-ranked items. But such a model is generally ...
An example of analysis and visualization of the NFL data in Kaggle. Notebook by Rob Mulla The types of questions the NFL wanted an answer to included, for example, “What contributes to a successful run play?” It wanted to know whether success depends mostly on the ball carrier who takes...
In this chapter, we will use a Kaggle image dataset named Caltech 256 that contains image files with the JPEG compression format. Our first step will be to load them into a Spark DataFrame instance. For this, we can choose between two format options: image or binary. Note When your progr...
We can also build a recommendation system to recommend books and bring people closer to a better decision. Usability info 10.00 License Other (specified in description) Tags Literature An error occurred: Unexpected end of JSON input lightbulb See what others are saying about this dataset What ...
dlrm_s_criteo_kaggle.sh, dlrm_s_criteo_terabyte.sh, dlrm_s_benchmark.sh Related Work: On theGlow frameworkimplementation https://github.com/pytorch/glow/blob/master/tests/unittests/RecommendationSystemTest.cpp On theFlexFlow frameworkdistributed implementation with Legion backend ...