Browse State-of-the-Art › Product Recommendation
Product Recommendation
40 papers with code · 1 benchmark · 8 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Coveo Data Challenge Dataset (1 row) | Ensemble (60 models) | Transformers with multi-modal features and post-fusion context for... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
8 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 40 papers with code (132 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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5 May 2019 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified · 1 pointer-only (licence)Network embedding (or graph embedding) has been widely used in many real-world applications.
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26 Jan 2020 3 repositories listed Syntology ran 1 of 2 samples · 1 unverifiedTaxonomies consist of machine-interpretable semantics and provide valuable knowledge for many web applications.
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11 Jan 2019 3 repositories listedIn this paper, we propose a deep convolutional neural network for learning the embeddings of images in order to capture the notion of visual similarity.
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11 Aug 2021 2 repositories listedIn this paper, we study how to construct effective explainable product search by comparing model-agnostic explanation paradigms with model-intrinsic paradigms and analyzing the important factors that determine the…
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4 Oct 2019 2 repositories listedThese properties of IST can cope with issues due to distributed data, slow interconnects, or limited device memory, making IST a suitable approach for cases of mandatory distribution.
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3 Mar 2019 2 repositories listedInspired by the fact that successive CNN layers represent the image with increasing levels of abstraction, we compressed our deep ranking model to a single CNN by coupling activations from multiple intermediate layers…
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7 Jul 2017 2 repositories listedThompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance between exploiting what is known to maximize immediate performance and investing to…
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8 Apr 2025 1 repository listedThe integration of large language models (LLMs) into information retrieval systems introduces new attack surfaces, particularly for adversarial ranking manipulations.
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1 Apr 2025 1 repository listedFeature management is essential for many online machine learning applications and can often become the performance bottleneck (e.
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13 Nov 2024 1 repository listedThe indoor environment significantly impacts human health and well-being; enhancing health and reducing energy consumption in these settings is a central research focus.
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1 Sep 2024 1 repository listedThis distinguishes it from related methods that are purely based on latent representations.
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10 Jun 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)In this paper, we develop a novel approach to combine IV and observational data to enable reliable CATE estimation in the presence of unobserved confounding in the observational data and low compliance in the IV data,…
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4 Mar 2024 1 repository listedIn order to enable features such as faceted product search or to generate product comparison tables, it is necessary to extract structured attribute-value pairs from the unstructured product titles and descriptions and…
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22 Feb 2024 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)In this paper, we focus on predicative user intents as "how a customer uses a product", and pose intent understanding as a natural language reasoning task, independent of product ontologies.
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21 Dec 2023 1 repository listedSignificant research effort has been devoted in recent years to developing personalized pricing, promotions, and product recommendation algorithms that can leverage rich customer data to learn and earn.
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10 Sep 2023 1 repository listedThis paper develops the MUFIN technique for extreme classification (XC) tasks with millions of labels where datapoints and labels are endowed with visual and textual descriptors.
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27 Jul 2023 1 repository listedThis work introduces TRON, a scalable session-based Transformer Recommender using Optimized Negative-sampling.
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19 Jul 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)To test the potential of the dataset, we introduce three tasks in this work: (1) next-product recommendation, (2) next-product recommendation with domain shifts, and (3) next-product title generation.
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23 Jun 2023 1 repository listedHence, extracting attribute/value pairs from textual product descriptions is an essential enabler for e-commerce applications.
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19 Nov 2022 1 repository listedWhereas for the node injection attack, though being more practical, current approaches require training surrogate models to simulate a white-box setting, which results in significant performance downgrade when the…
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21 Jun 2022 1 repository listedAutomatic product description generation for e-commerce has witnessed significant advancement in the past decade.
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7 Jun 2022 1 repository listedWe formalize the problem where the goal is for the embedding team to keep updating the embedding version, while the consumer teams do not have to retrain their models.
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22 Apr 2022 1 repository listedSentiment detection is an important building block for multiple information retrieval tasks such as product recommendation, cyberbullying detection, and misinformation detection.
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3 Mar 2022 1 repository listedLearning neural set functions becomes increasingly more important in many applications like product recommendation and compound selection in AI-aided drug discovery.
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17 Sep 2021 1 repository listedA total of 167 participants participated in the challenge, and we secured the 6th rank during the final evaluation with an MRR of 0.
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13 Sep 2021 1 repository listedWe introduce and formalize the problem of cross-market product recommendation, i.
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13 Sep 2021 1 repository listedAutomatic annotation of short-text data to a large number of target labels, referred to as Short Text Extreme Classification, has found numerous applications including prediction of related searches and product…
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1 Aug 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)This paper develops the DECAF algorithm that addresses these challenges by learning models enriched by label metadata that jointly learn model parameters and feature representations using deep networks and offer…
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31 Jul 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedThis paper presents ECLARE, a scalable deep learning architecture that incorporates not only label text, but also label correlations, to offer accurate real-time predictions within a few milliseconds.
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7 Jun 2021 1 repository listedHence, the key is to make full use of rich interaction information among streamers, users, and products.
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections