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Wednesday, October 17 • 2:15pm - 2:55pm
Using Opinion Mining and Sentiment Analysis to Discover Hidden Product Features for E-Commerce Search

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Customers often search for very specific product features that are difficult to discover from only the supplier-provided product information. For example, how do you rank products for customers searching for an “easy to clean rug” or a “comfortable to sit on couch.” To help e-commerce search engines evolve and embrace this challenge, we need to look beyond the product catalog to improve query understanding and product ranking. In this session we will show how to address this problem by leveraging customer feedback datasets such as product reviews. We will take a deep dive into some natural language processing techniques such as opinion mining, sentiment analysis to discover, refine and rank useful insights from reviews, apply sentiment models to label mined data and then show how to integrate this information into Solr in order to surface the right products in search results. We will also discuss how this work improved conversion rate for some obscure customer searches on Wayfair.com.

avatar for John Castillo

John Castillo

Software Engineer, Wayfair
John’s areas of interest include: automation, performance and scalability, predictive search, natural language processing (NLP), and information retrieval. They work together on improving search relevance by applying NLP techniques to discover meaningful product features from user... Read More →
avatar for Suyash Sonawane

Suyash Sonawane

Senior Software Engineer, Wayfair
Suyash Sonawane is a Software Engineer at Wayfair--the fastest growing online destination for all things home. Suyash is passionate about solving the unique problem of developing, scaling, and maintaining systems that answer millions of furniture specific queries per day. Suyash works... Read More →

Wednesday October 17, 2018 2:15pm - 2:55pm EDT
Salon 6&7