Brian Johnson

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Directly improving eBay revenue by millions of dollars per engineer per year via improvements to eBay search recall without degrading relevance. Using data mining, machine learning, and map/reduce hadoop. * Spell Correction * Query Rewrites/Reformulation ** Synonym expansions ** Acronym expansions ** Compound word and space synonym expansion ** Attribute expansions ** Category expansions * Null/Low Recovery * Related Search (2012) Removing Search SPAM (Search Manipulation) * Created new team to combat search engine manipulation (spam) * 2012 Critical Talent & Engineering Champion awards * Responsible for search recall, query rewrites/expansions, spell correction, spam, and related se...

search data mining ebay hadoop random graph walk machine learning vector embeddin ebay search query intent high school education match statistics data science reformulation query rewrite cloud hadoop data mining search relevance crowdsourcing human judgment machine learning

Activity
About

Brian Johnson

Presentations

2011 Search Query Rewrites - Synonyms & Acronyms

2011 x.commerce Innovate Data Alchemy

2011 Crowdsourcing Search Evaluation

CloudCon Data Mining Presentation

eBay Search Science, IEEE Big Data, April 3rd, 2015

2015-04 eBay Statistics

eBay Search Query Intent

Graph Walks & Vector Embeddings: Exploiting the head and exploring the tail

Documents

11 869 290 Electronic Publication System

10 977 279 Method And System For Categor

11 641 262 Proprietor Currency Assignmen

11 964 181 System And Method For Providi

Treemaps: Visualizing Hierarchical and Categorical Data

Likes

Deep Learning for Personalized Search and Recommender Systems

The dark art of search relevancy