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Raymond Shiau

dblp:195/5893 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Image recognition and object detection · 87% Efficient and distributed learning · 13%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
visual search
0.412020
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest · KDD 2020
Machine learning › Efficient and distributed learning
inference serving
0.112020
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest · KDD 2020
Information retrieval
ranking
0.112020
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest · KDD 2020

Methods — techniques the papers use, named apart from their topics

visual embedding · 0.9object detection · 0.9a/b testing · 0.9
YearPublicationVenuePosition
2020 Shop The Look: Building a Large Scale Visual Shopping System at Pinterest
abstract
As online content becomes ever more visual, the demand for searching by visual queries grows correspondingly stronger. Shop The Look is an online shopping discovery service at Pinterest, leveraging visual search to enable users to find and buy products within an image. In this work, we provide a holistic view of how we built Shop The Look, a shopping oriented visual search system, along with lessons learned from addressing shopping needs. We discuss topics including core technology across object detection and visual embeddings, serving infrastructure for realtime inference, and data labeling methodology for training/evaluation data collection and human evaluation. The user-facing impacts of our system design choices are measured through offline evaluations, human relevance judgements, and online A/B experiments. The collective improvements amount to cumulative relative gains of over 160% in end-to-end human relevance judgements and over 80% in engagement. Shop The Look is deployed in production at Pinterest.
Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Eileen Li, Kunlong Gu, Charles Rosenberg 0001, Andrew Zhai
KDD1