WANDS: Dataset for Product Search Relevance Assessment
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Existing e-commerce datasets target retrieval relevance and use short, keyword-style queries, which do not resemble realistic interactions with shopping agents.
“Existing e-commerce datasets target retrieval relevance and use short, keyword-style queries (Papenmeier et al., 2021; Chen et al., 2022; Reddy et al., 2022), which do not resemble realistic interactions with shopping agents.”
From E-GEO: A Testbed for Generative Engine Optimization in E-Commerce (2025) · cites this paper as Chen et al., 2022
WANDS and ESCI average ∼3-3.5 words in a single sentence and Papenmeier et al. (2021)'s queries average ∼33 words, while E-GEO queries average ∼59 words.
“Quantitatively, WANDS (Chen et al., 2022) and ESCI (Reddy et al., 2022) average ∼ 3-3.5 words in a single sentence and Papenmeier et al. (2021)'s queries average ∼ 33 words , while E-GEO queries average ∼ 59 words (Table 2, which also lists representative example queries).”
From E-GEO: A Testbed for Generative Engine Optimization in E-Commerce (2025) · cites this paper as Chen et al., 2022
Cites
Nigam, P., Song, Y., Mohan, V., Lakshman, V., Ding, W. (., Shingavi, A., Teo, C. H., Gu, H., & Yin, B. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3292500.3330759 · Cited by 127 · see citing works
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E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
Bagga, P. S., Farias, V. F., Korkotashvili, T., Peng, T., & Wu, Y. (2025) · arXiv · doi:10.48550/arxiv.2511.20867 · Cited by 1 · see citing works
“• white leather chair (Chen et al., 2022) • laundry basket with wheels (Chen et al., 2022 • Request: Sandals.”
Influential
- Authors
- Chen, Y., Liu, S., Liu, Z., Sun, W., Baltrunas, L., & Schroeder, B.
- Corresponding author
- Chen, Yan
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2022
- Pages
- 128-141
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4225565720
- Cited by
- 10
- References
- 1
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 1
- FWCI
- 2.01
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
- Keywords
- search result relevance, e-commerce search, product search, cross-references, search engine evaluation, click logs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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