The Fifth Elephant 2017
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
##Theme and format
The Fifth Elephant 2017 is a four-track conference on:
The Fifth Elephant is a conference for practitioners, by practitioners.
Talk submissions are now closed.
You must submit the following details along with your proposal, or within 10 days of submission:
##About the conference
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.
We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:
##Selection Process
We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.
Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
There is only one speaker per session. Entry is free for selected speakers.
##Travel grants
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.
##Commitment to Open Source
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.
##Important Dates:
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Umesh Prasad
@umeshprasad
Submitted Jun 9, 2017
Key Take aways of the talk
0. Demystifying Lucene & showing inside view of it and how to extend core components of it.
E-commerce is different; factors that are critical are responsiveness, real time search capabilities with heavy faceting and sorting needs. Search relevancy is also key driver for ecommerce conversion. It is important to measure the relevancy of the engine offline to tune it for better results. Today existing indexing technologies like Solr/Lucene have trouble dealing with attributes that are in high constant flux. Availability and price are two important attributes in E-commerce that varies across different sellers/listing and change dynamically. In this talk I will share my experience on how in Flipkart we used Solr at scale along with other data stores to index its rapidly changing inventory and other merchant data. II will also share my thoughts on future directions and the focus of open-source indexing technologies.
Outline
Case for Near Real Time Search : Customer Experience [ For everyone ]
Technical Challenges in Near real time search : [ Intermediate ]
Solr Cloud for NRT : What works & What doesn't [ Intermediate ]
Alternate Approaches to NRT : (DocValues, Parallel Indexes, Lucene Codecs) [Advanced]
Building a RealTime search from First Principles [Intermediate/Advanced]
Monitoring/Benchmarking [Advanced]
Other Solutions
Umesh Prasad is a hands on Solr/Lucene expert and a ML/Bigdata enthusiast. He has a decade of experience building search engine, middleware and learning system for new/different usecases at various scales. He was part of Search & Data platform @ Flipkart for ~5 years, where he came up with this alternative solution for providing consistent customer experience during BBD traffic. He briefly consulted for Lucidworks, which builds a entreprise search product on top of Solr/Lucene. Now he is a full time independent consultant and is currently consulting for Unbxd.
He first fell in love with Lucene and Search in 2007 while building Vertical search engine for Verse Innovation (company behind dailyhunt now) and chose to dig his heels deeper. He also a brief stint with Payments@Amazon. Personally Umesh is customer obsesssed and a customer experience champion. He is passionate about learning/teaching and has been a volunteer @Shiksha Sopan (an IITK NGO), Landmark Worldwide (a Harvard case study) and AlumniConnect. He comes rural Jharkhand, his native is still without electricity and his dream is to leverage technology and tools to transform education and healthcare in rural India. He finished his B.Tech from IIT Kanpur in 2006.
I have given different versions of this talk, a total of 5 times with different content and stress points [modified to suit the audience]
https://docs.google.com/presentation/d/1BlMfsAGNQpy-oqiNt-AKgWu_miP6eyfVR_V3_uNgsSw/edit#slide=id.p4
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
Hosted by
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}