WANDS: Dataset for Product Search Relevance Assessment.

@inproceedings{chen-2022-wands, author = {Yan Chen and Shujian Liu and Zheng Liu and Weiyi Sun and Linas Baltrunas and Benjamin Schroeder}, editor = {Matthias Hagen and Suzan Verberne and Craig Macdonald and Christin Seifert and Krisztian Balog and Kjetil N{\o}rv{\aa}g and Vinay Setty}, title = {{WANDS: Dataset for Product Search Relevance Assessment}}, booktitle = {{Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {13185}, pages = {128--141}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-030-99736-6_9}, doi = {https://doi.org/10.1007/978-3-030-99736-6_9} }