143 citations
- Institut de recherche mathématique de RennesFR2 papers
- SMART ReadingUS2 papers
- University of California, RiversideUS2 papers
- University of Wisconsin–MadisonUS2 papers
- Arizona State UniversityUS1 paper
- École nationale des ponts et chausséesFR1 paper
- Santa Clara UniversityUS1 paper
- Technion – Israel Institute of TechnologyIL1 paper
- Texas A&M UniversityUS1 paper
- University of Illinois ChicagoUS1 paper
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- University of PennsylvaniaUS1 paper
7 papers · 1 filter
A Multi-task Learning Framework for Product Ranking with BERT
Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon +3
Product ranking is a crucial component for many e-commerce services. One of the major challenges in product search is the vocabulary mismatch between query and products, which may…
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System
Da Xu, Chuanwei Ruan
In the relatively short history of machine learning, the subtle balance between engineering and theoretical progress has been proved critical at various stages. The most recent wav…
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
Luyi Ma, Jianpeng Xu, Jason H. D. Cho +3
The complementary item recommender system (CIRS) recommends the complementary items for a given query item. Existing CIRS models consider the item co-purchase signal as a proxy of…
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Da Xu, Chuanwei Ruan, Evren Korpeoglu +2
The recent work by Rendle et al. (2020), based on empirical observations, argues that matrix-factorization collaborative filtering (MCF) compares favorably to neural collaborative…
Variational Inference for Category Recommendation in E-Commerce platforms
Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur +2
Category recommendation for users on an e-Commerce platform is an important task as it dictates the flow of traffic through the website. It is therefore important to surface precis…
On Application of Learning to Rank for E-Commerce Search
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
E-Commerce (E-Com) search is an emerging important new application of information retrieval. Learning to Rank (LETOR) is a general effective strategy for optimizing search engines,…