The Fifth Elephant 2023 Winter edition - themes

Talks from the healthcare sector
Cutting edge developments with hardware and AI
AI and risk mitigation

Attendance for The Fifth Elephant members only

The December edition will be held in-person. Attendance is open to The Fifth Elephant members only. Purchase a membership to attend in-person conference.

Who will benefit from participating in The Fifth Elephant community:

Data/MLOps engineers who want to learn about state-of-the-art tools and techniques, especially from domains such as automobile, agri-tech and mechanical industries.
Data scientists who want a deeper understanding of model deployment/governance.
Architects who are building ML workflows that scale.
Tech founders who are building products that require AI or ML.
Product managers, who want to learn about the process of building AI/ML products.
Directors, VPs and senior tech leadership who are building AI/ML teams.

Sponsorship

Sponsorship slots are open for:

Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
Companies seeking tech branding among AI and ML developers.
Venture Capital (VC) firms and investors who want to scan the landscape of innovations and innovators in AI and who want to source leads for investment in the AI and ML space.
If you are interested in sponsoring, email sales@hasgeek.com.

Contact information

Join The Fifth Elephant Telegram group on https://t.me/fifthel. Follow @fifthel on Twitter.
For any inquiries, call The Fifth Elephant on +91-7676332020.

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The Fifth Elephant

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

All submissions

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Conversational Search in Flipkart

Submitted Sep 11, 2023

Abstract

With Conversational Commerce becoming more popular, the way people search for products on a Conversational (Chat) Interface is very different from the way they search on a traditional “Search Text Box” based interface. This talk is around the differences, the challenges they pose and the solutionn to those challenges based on our learnings in Flipkart.

Broad Outline

Conversational Search is different from Traditional Search for the follwoing reasons.

Long, descriptive and subjective queries - Eg. “Show me best camera phones with good battery life”. This is very different from traditional search queries which are keyword based. Eg. “5g phones”
Suffer from Articulation gap - Eg. "Show me phones for daily use for my father. Here, we will need to understand what features of a phone are required for daily use and for elders. These queries are not performed on traditional search methods and its not natural.
Lots of Comparison queries - Eg. “is vivo v15 better than oppo k10”.
Required high relevance - Since lesser results are are shown in a chat based search, the results needs to be extremely relevant.

We used LLMs for solving for articulation gap and query re-write. We also used different labelling techniques such as using LLMs to label the results rather than relying on metrics such as CTR to get high quality labelled results to train our models.

We will cover all of the above in the talk.