A large dataset of difficult search queries, released with the aim of fostering research in the area of semantic matching of queries and products. |
The Product Search Track studies information retrieval in the field of product search. This is the case where there is a corpus of many products. |
Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals. |
Predict the relevance of search results on homedepot.com. |
In these datasets, a user has to purchase an item before writing a review for it, so the purchase user-item pairs were directly extracted based on user reviews. |
It measures the relationship between users' queries and products returned in search results. E-commerce sites use search engines to help customers find relevant ... |
14 июн. 2022 г. · This paper introduces the "Shopping Queries Dataset", a large dataset of difficult Amazon search queries and results, publicly released with the aim of ... |
JDsearch is a personalized product search dataset comprised of real user queries and diverse user-product interaction types. |
For each query, the dataset provides a list of up to 40 potentially relevant results, together with ESCI relevance judgements (Exact, Substitute, Complement, ... |
It measures the relationship between users' queries and products returned in search results. E-commerce sites use search engines to help customers find relevant ... |
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