MEETICRecommendation System Meetup

01/02/2017

Meetic – European online dating leader

Services available on:

Some stats

Millions of Monthly Active Users

2-3 millions messages exchanged per day between users

4 000 000 likes a day

20 000 000 profile views a day

Why we need recommendation at Meetic?

Our Goal: Let’s any single meet the right person!

• We have to help our members to focus their search to singles who meet their expectation (Gain time)

• We have to ensure that interest could be mutual

Too much eligible “prospect” for each user

• They count on our experience in dating

• Some people prefer recommendations instead of using the search feature

Our users ask us to have recommendations

• To ensure attention is well-distributed

• To ensure engaged singles receive attention

• Attention received (likes/mails) has an impact on conversion

We have to master who receive attention

Our strengths for Recommendation at Meetic

Lots of data

Lots of features (roughly 10) on site and emails to push members

Encouraging POCs : Collaborative filtering with Neo4j (triangulation)

Supervised modeling with all kinds of data improve matching rates

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Pro

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• 30 profiles fromPhysics Criteria to Hobbies throughLifestyle

Seek

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• We know whatcriteria ourmembers are looking for!

Beh

avio

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Site

• We know whatour users liked(and disliked!)

Current Projects

LARA: Create Smarter Bot to help our members in their search

Similar Profile: Similar Face Approach

Algorithms at Meetic

IT

Architect

Data Mngt / DBA

Developers Back-end

System Engineer

Analytics

Product

If necessary, a temporary agile collocated team is created to get better synergy between teams

- Propose Project - Data Modeling- Analyzed results

(AB test)

- Propose new projects/ New feature improve consumer experience

- Manage projects

- Define good architecture- Implement solutions in production

THANK YOUEnjoy the Meetup!

https://careers.smartrecruiters.com/MeeticGroup