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Jun 6, 2024 · Yelp:It is a widely used dataset for research and development of recommendation systems, natural language processing, and data mining tasks, provided by Yelp Corporation. It contains user generated comments and rating data from the Yelp platform, as well as metadata related to merchants, users, and comments.
6 days ago · MML outperforms this loss function by 15.27% in recall and 15.54% in NDCG on Yelp dataset and 30.55% in recall and 22.54% in NDCG on Gowalla dataset. 5. Conclusion. Recommender systems guide users by estimating their preferences through methods like collaborative filtering and deep learning.
Jun 12, 2024 · Yelp Reviews: This dataset is a subset of Yelp’s businesses, reviews, and user data. It was originally put together for the Yelp Dataset Challenge which is a chance for students to conduct research or analysis on Yelp’s data and share their discoveries.
Jun 4, 2024 · Figure 7 explores user profile generation on the Yelp dataset. Unlike items, users often lack extensive metadata, presenting a unique challenge. To deduce user preferences, the approach relies on Large Language Models (LLMs) to analyze the user’s historical interactions.
Jun 18, 2024 · Machine learning final project: Creating a Restaurant recommendation system with the Yelp dataset. Note: Data files are too large for Github.
4 days ago · They have considered Yelp (147,672 sentences) and SentiText (10,834 sentences) datasets. They have found that the CNN + LSTM model has performed better among all the models, with an accuracy value of 84.32% on the Yelp dataset and 88.26% accuracy on the SentiText dataset.
Jun 4, 2024 · This is what powers the dataset viewer on each dataset page and every dataset on the Hub can be accessed with the same code (you can use HF Datasets, ClickHouse, DuckDB, Pandas or Polars, up to you). You can learn more about the advantages associated with Parquet in the documentation. How to access the Parquet version of the dataset?
