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.

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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, ...

27 дек. 2023 г. · The Shopping Queries Dataset enables Amazon's A9 algorithm to transcend traditional keyword-based search methods, advancing to more nuanced semantic search.