DeepAI AI Chat
Log In Sign Up

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

02/21/2023
by   Yunzhong He, et al.
University of Minnesota
0

Query categorization at customer-to-customer e-commerce platforms like Facebook Marketplace is challenging due to the vagueness of search intent, noise in real-world data, and imbalanced training data across languages. Its deployment also needs to consider challenges in scalability and downstream integration in order to translate modeling advances into better search result relevance. In this paper we present HierCat, the query categorization system at Facebook Marketplace. HierCat addresses these challenges by leveraging multi-task pre-training of dual-encoder architectures with a hierarchical inference step to effectively learn from weakly supervised training data mined from searcher engagement. We show that HierCat not only outperforms popular methods in offline experiments, but also leads to 1.4 4.3 A/B testing.

READ FULL TEXT

page 1

page 2

page 3

page 4

08/17/2021

Aggregated Customer Engagement Model

E-commerce websites use machine learned ranking models to serve shopping...
04/23/2021

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

Query categorization is an essential part of query intent understanding ...
03/16/2017

Refining Image Categorization by Exploiting Web Images and General Corpus

Studies show that refining real-world categories into semantic subcatego...
10/19/2022

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook

Social media platforms are currently the main channel for political mess...
08/04/2020

Weakly Supervised Construction of ASR Systems with Massive Video Data

Building Automatic Speech Recognition (ASR) systems from scratch is sign...
06/21/2022

Bi-Calibration Networks for Weakly-Supervised Video Representation Learning

The leverage of large volumes of web videos paired with the searched que...
09/04/2018

Challenges of capturing engagement on Facebook for Altmetrics

Previous research shows that, despite its popularity, Facebook is less f...