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07/29/2023
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce
Position bias, the phenomenon whereby users tend to focus on higher-rank...
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11/16/2022
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
Recent studies on Next-basket Recommendation (NBR) have achieved much pr...
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11/30/2021
Generating Rich Product Descriptions for Conversational E-commerce Systems
Through recent advancements in speech technologies and introduction of s...
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11/28/2021
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
Recently, Graph Neural Networks (GNNs) have proven their effectiveness f...
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02/28/2021
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
Online Learning to Rank (OL2R) eliminates the need of explicit relevance...
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12/08/2020
A Real-Time Whole Page Personalization Framework for E-Commerce
E-commerce platforms consistently aim to provide personalized recommenda...
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11/02/2020
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce
Searching for and making decisions about products is becoming increasing...
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10/22/2020
Basket Recommendation with Multi-Intent Translation Graph Neural Network
The problem of basket recommendation (BR) is to recommend a ranking list...
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07/23/2020
Product Title Generation for Conversational Systems using BERT
Through recent advancements in speech technology and introduction of sma...
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01/14/2020
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
Within-basket recommendation reduces the exploration time of users, wher...
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10/24/2019
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
With growing consumer adoption of online grocery shopping through platfo...
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08/26/2019
Complementary-Similarity Learning using Quadruplet Network
We propose a novel learning framework to answer questions such as "if a ...
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02/14/2017