Goodreads Book Datasets With User Rating 10M

我们每个人都知道Goodreads，每个想读书的书迷，首先要在该网站上搜索该书的书名，然后阅读该书的所有评论和评级。这些数据集非常适合两项工作：建立基于1000万本书的图书推荐系统，将描述列用于NLP。

As widely acknowledged, Goodreads is the go-to platform for every avid reader. Users first search for the title of a target book on this website, then read all its reviews and ratings. These datasets are highly suitable for two core tasks: constructing book recommendation systems based on 10 million books, and leveraging the book description columns for natural language processing (NLP) applications.

搜集汇总

背景与挑战

背景概述

该数据集名为Goodreads Book Datasets With User Rating 10M，包含了约1000万本书籍的详细信息，源自Goodreads网站。它适用于构建图书推荐系统以及自然语言处理（NLP）任务，数据以CSV和JSON格式提供。