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Multi-level Deep Learning based e-Commerce Product Categorization

Wenhu Yu, Zhiqiang Sun, Haifeng Liu, Zhipeng Li, Zhitong Zheng
2018 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
In the E-Commerce Text Classification Challenge, we combine machine learning, deep learning, and natural language processing to propose a multi-level and multi-class deep learning tree method.  ...  E-commerce product categorization is an important topic, and its quality directly affects subsequent search, recommendations and related personalized services.  ...  ACKNOWLEDGMENTS #is work was partially supported by the SIGIR eCom`18 Project "Taxonomy Classification for eCommerce-scale Product Catalogs" and by Rakuten Institute of Technology Boston (RIT-Boston).  ... 
dblp:conf/sigir/YuSLLZ18 fatcat:kninapgvefgjbgy5g4zz3r7ady

Categorizing Multi-Label Product Questionnaires through SVM Based Click stream

2020 International journal of recent technology and engineering  
Traditional supervised approaches to E-Commerce QC are not possible due to the high volume of traffic and high cost for manual annotation in E-Commerce search engines.  ...  Despite this, search queries about the product usually vary depending on what is vague, and introduce new products over time, seasonal trends and narrow.  ...  Its two-level structures are both sentence representation and deep word representation; it has the ability to learn both.  ... 
doi:10.35940/ijrte.f8012.059120 fatcat:ie2lqob52rh7nefuv6r6jcfnxe

Applications of Fusion Techniques in E-Commerce Environments: A Literature Review

Emmanouil Daskalakis, Konstantina Remoundou, Nikolaos Peppes, Theodoros Alexakis, Konstantinos Demestichas, Evgenia Adamopoulou, Efstathios Sykas
2022 Sensors  
, based on the wide variety of challenges faced by e-commerce.  ...  For categorizing the solutions, a novel 4-fold categorization approach is introduced including product-related, economy-related, business-related, and consumer-related solutions, followed by relevant subcategorizations  ...  Finally, in the e-commerce product categorization solution proposed by Yu et al.  ... 
doi:10.3390/s22113998 pmid:35684619 pmcid:PMC9182987 fatcat:63ztbmzfuvdk3hjagtss5iihey

Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation [article]

Maggie Yundi Li and Stanley Kok and Liling Tan
2018 arXiv   pre-print
E-commerce platforms categorize their products into a multi-level taxonomy tree with thousands of leaf categories.  ...  Conventional methods for product categorization are typically based on machine learning classification algorithms.  ...  Conclusion & Future Work Product categorization is an important problem for e-commerce companies.  ... 
arXiv:1812.05774v1 fatcat:ki545ztt4rcynhnzg4gyg3pwz4

Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant

Ali Cevahir, Koji Murakami
2016 International Conference on Computational Linguistics  
In order to organize the large number of products listed in e-commerce sites, each product is usually assigned to one of the multi-level categories in the taxonomy tree.  ...  We have trained our models for around 150 million products with a taxonomy tree with at most 5 levels that contains 28,338 leaf categories.  ...  In this paper we propose a large-scale classification method for e-commerce products to classify them into thousands of multi-level categories.  ... 
dblp:conf/coling/CevahirM16 fatcat:qdoecskru5eitl42r7p5ldxpa4

APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization [article]

Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifa Al Jadda, Surya Kallumadi, Eugene Agichtein
2021 arXiv   pre-print
Query categorization is an essential part of query intent understanding in e-commerce search.  ...  A common query categorization task is to select the relevant fine-grained product categories in a product taxonomy.  ...  e-commerce.  ... 
arXiv:2104.11384v2 fatcat:hdsijcybg5aklaunkwvr2suiou

Multi-label classification of promotions in digital leaflets using textual and visual information [article]

Roberto Arroyo, David Jiménez-Cabello, Javier Martínez-Cebrián
2020 arXiv   pre-print
Product descriptions in e-commerce platforms contain detailed and valuable information about retailers assortment.  ...  In particular, coding promotions within digital leaflets are of great interest in e-commerce as they capture the attention of consumers by showing regular promotions for different products.  ...  We believe that the automated product coding in digital leaflets is at an early research stage but yet it is a very interesting approach in the future of e-commerce.  ... 
arXiv:2010.03331v1 fatcat:azypui2qw5asfeoes33zrxsepq

Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce [article]

Tom Zahavy and Alessandro Magnani and Abhinandan Krishnan and Shie Mannor
2016 arXiv   pre-print
Classifying products into categories precisely and efficiently is a major challenge in modern e-commerce.  ...  In this paper, we propose a decision level fusion approach for multi-modal product classification using text and image inputs.  ...  Thus, precisely categorizing items emerges as a significant issue in e-commerce domains.  ... 
arXiv:1611.09534v1 fatcat:fzrqysiswrekhhmhf26rwhjmsy

Everyone Likes Shopping! Multi-class Product Categorization for e-Commerce

Zornitsa Kozareva
2015 Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies  
One of the biggest challenges in e-Commerce is that providers like Amazon, e-Bay, Google, Yahoo!  ...  We conducted an empirical evaluation on 445, 408 product titles and used a rich product taxonomy of 319 categories organized into 6 levels.  ...  Such process will both alleviate human labor and further improve product categorization consistency in e-Commerce websites.  ... 
doi:10.3115/v1/n15-1147 dblp:conf/naacl/Kozareva15 fatcat:nvyxkiq75ff33lhhzp5opdzinu

A Visual Technique to Analyze Flow of Information in a Machine Learning System

Abon Chaudhuri
2018 IS&T International Symposium on Electronic Imaging Science and Technology  
The proposed concept is illustrated with the example of categorization of millions of products in the e-commerce domain - a multi-class hierarchical classification problem.  ...  Machine learning (ML) algorithms and machine learning based software systems implicitly or explicitly involve complex flow of information between various entities such as training data, feature space,  ...  Application Scenario The product catalog of an e-commerce company typically contains millions of products that need to be placed into categories structured as multi-level hierarchies (such as electronics  ... 
doi:10.2352/issn.2470-1173.2018.01.vda-380 fatcat:d7hnzemv7vcfpeeyku65wuvd2e

Content-based E-commerce Image Classification Research

Xiaoli Zhang
2020 IEEE Access  
This paper uses content-based and deep learning methods to classify e-commerce images. Content-based image classification has been widely studied.  ...  [24] proposed an image classification method based on deep learning feature coding model.  ... 
doi:10.1109/access.2020.3018877 fatcat:tjn2pvdamzbotndmzsot3fjaje

User Response Prediction in Online Advertising [article]

Zhabiz Gharibshah, Xingquan Zhu
2021 arXiv   pre-print
We propose a taxonomy to categorize state-of-the-art user response prediction methods, primarily focus on the current progress of machine learning methods used in different online platforms.  ...  prosperity of online campaigns is a challenge in online marketing and is usually evaluated by user response through different metrics, such as clicks on advertisement (ad) creatives, subscriptions to products  ...  In the context of e-commerce websites, [5] suggested multi-modal ensemble learning to consider texts and images of posts as different modalities.  ... 
arXiv:2101.02342v2 fatcat:clgefamcd5fmbeg5ephizy3zqu

JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search [article]

Ali Ahmadvand and Surya Kallumadi and Faizan Javed and Eugene Agichtein
2020 arXiv   pre-print
In the e-commerce domain, recent work in query understanding focuses on the query to product-category mapping.  ...  In this paper, we introduce Joint Query Intent Understanding (JointMap), a deep learning model to simultaneously learn two different high-level user intent tasks: 1) identifying a query's commercial vs  ...  CONCLUSIONS AND FUTURE WORK We introduced JointMap, a deep learning model designed for jointly learning two high-level intent tasks on e-commerce search data.  ... 
arXiv:2005.13783v2 fatcat:7epqkxseszcr3e4gc6dr2bzmo4

Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach [article]

Junhao Hua, Ling Yan, Huan Xu, Cheng Yang
2021 arXiv   pre-print
Secondly, we propose a multi-period dynamic pricing algorithm to maximize the overall profit of a perishable product over its finite selling horizon.  ...  Experimental results show the advantages of our pricing algorithm, and the proposed framework has been successfully deployed to the well-known e-commerce fresh retail scenario - Freshippo.  ...  In particular, we denote categorical feature as ∈ {0, 1} , and assume there are three level categories.  ... 
arXiv:2105.08313v2 fatcat:atxzob6c7veb5a6725o7h3lt54

Text Classification for Predicting Multi-level Product Categories [article]

Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayşe Başar
2021 arXiv   pre-print
In addition, we observe that using bilingual product titles is generally beneficial, and neural network-based models perform significantly better than SVM and XGBoost models.  ...  We perform a comprehensive comparison of six different text classification models to establish a strong baseline for this task, which involves testing both traditional and recent machine learning methods  ...  The interest in e-commerce has only increased with the COVID-19 pandemic, which resulted in the proliferation of e-commerce companies [4] .  ... 
arXiv:2109.01084v1 fatcat:agofx4ijpfdkvcbumobyowythm
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