activity
20192022
most citedBasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network

11 citations · 31 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.IR2020

A Real-Time Whole Page Personalization Framework for E-Commerce

Aditya Mantha, Anirudha Sundaresan, Shashank Kedia +6

E-commerce platforms consistently aim to provide personalized recommendations to drive user engagement, enhance overall user experience, and improve business metrics. Most e-commer…

cs.LG2020★ 1 cited

An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce

Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo +1

Searching for and making decisions about products is becoming increasingly easier in the e-commerce space, thanks to the evolution of recommender systems. Personalization and recom…

cs.IR2020★ 4 cited

Basket Recommendation with Multi-Intent Translation Graph Neural Network

Zhiwei Liu, Xiaohan Li, Ziwei Fan +3

The problem of basket recommendation~(BR) is to recommend a ranking list of items to the current basket. Existing methods solve this problem by assuming the items within the same b…

cs.CL2020★ 6 cited

Product Title Generation for Conversational Systems using BERT

Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha +2

Through recent advancements in speech technology and introduction of smart devices, such as Amazon Alexa and Google Home, increasing number of users are interacting with applicatio…

cs.IR2020★ 11 cited

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network

Zhiwei Liu, Mengting Wan, Stephen Guo +2

Within-basket recommendation reduces the exploration time of users, where the user's intention of the basket matters. The intent of a shopping basket can be retrieved from both use…