Product Recommendation

34 papers with code • 1 benchmarks • 8 datasets

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Libraries

Use these libraries to find Product Recommendation models and implementations
2 papers
83

Using LLMs for the Extraction and Normalization of Product Attribute Values

wbsg-uni-mannheim/wdc-pave 4 Mar 2024

For our experiments, we introduce the WDC Product Attribute-Value Extraction (WDC PAVE) dataset.

1
04 Mar 2024

RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation

retailmarketingai/retailsynth 21 Dec 2023

Significant 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.

5
21 Dec 2023

Multi-modal Extreme Classification

extreme-classification/mufin CVPR 2022

This 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.

19
10 Sep 2023

Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions

otto-de/tron 27 Jul 2023

This work introduces TRON, a scalable session-based Transformer Recommender using Optimized Negative-sampling.

53
27 Jul 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

haitaomao/amazon-m2 NeurIPS 2023

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.

2
19 Jul 2023

Product Information Extraction using ChatGPT

wbsg-uni-mannheim/pie_chatgpt 23 Jun 2023

Hence, extracting attribute/value pairs from textual product descriptions is an essential enabler for e-commerce applications.

2
23 Jun 2023

Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions

sean-lo/optimalmatrixcompletion.jl 20 May 2023

Low-rank matrix completion consists of computing a matrix of minimal complexity that recovers a given set of observations as accurately as possible.

6
20 May 2023

Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning

jumxglhf/g2a2c 19 Nov 2022

Whereas 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 surrogate architecture diverges from the actual victim model.

16
19 Nov 2022

Automatic Controllable Product Copywriting for E-Commerce

xguo7/automatic-controllable-product-copywriting-for-e-commerce 21 Jun 2022

Automatic product description generation for e-commerce has witnessed significant advancement in the past decade.

15
21 Jun 2022

Learning Backward Compatible Embeddings

snap-stanford/bc-emb 7 Jun 2022

We 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.

32
07 Jun 2022