PyCon Pune 2017

A conference on the Python programming language

Elvis D'Souza

@elvisds

Search & Recommendations Architecture powering Sensy TV Remote app

Submitted Nov 30, 2016

How do you build a search and recommendations layer over a CRUD app? What are the challenges? How can python libraries and projects be leveraged to solve problems like auto-complete, full text search, “more like this” recommendations?

Outline

This talk will present a case study of search and recommendations systems architecture of Sensy TV Guide and Remote app. Topics will include

  • Store data, serializing and delivering it to the app
  • Built auto-complete suggestions with focus on low latencies
  • Full text & Filtering on a dataset
  • Creating an infinite content feed based on a users profile

Speaker bio

Elvis D’Souza plays with TV, mobile & data at Sensy, a TV guide and remote startup.

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