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Thursday, October 13 • 2:20pm - 3:00pm
Near Real Time Indexing in Search
Imagine the frustration of the user, when they found their perfect wish while browsing, only to realize it later (when they clicked it) that it was out of stock or the price switched or it was not delivered at their location. This happens when the search index doesn't have the real-time availability, price and seller information. Hence it is a core challenge that an E-Commerce marketplace search engine has to solve. Regular document search index technologies (like Solr/Lucene) have trouble dealing with attributes which are in high constant flux (like availability, price) which are typically seller/listing specific attributes. In this talk, we present the challenges and our solutions for a customized search index for e-commerce addressing these challenges.

avatar for Thejus V M

Thejus V M

Data Architect, Flipkart
Thejus is a software engineer working on the search systems at Flipkart. His work has spanned across multiple aspects of Search such as high throughput indexing, managing large scale distributed infrastructure, semantic identification, auto suggestion, scoring models and more.

Umesh Prasad

SDE III, Flipkart
Umesh is a SDE -3 in Flipkart . He is the resident solr/lucene expert in Flipkart and has been instrumental in building critical frameworks and solutions for search team. Previously he built and evolved vertical search & content aggregation service for Verse Innovation. Currently busy building Flipkart's Data Platform.

Thursday October 13, 2016 2:20pm - 3:00pm
Back Bay A Sheraton Boston