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Graphversation Ep. 3 (How Web Scraping and Graph Databases Power Recommendation Engines)

We are super excited to bring the 3rd episode of Graphversation, a monthly livestream series that brings graph experts and Neo4j ninjas for engaging and informative conversations about the fascinating world of graphs. Whether you are a beginner or an advanced developer in graphs, we are confident that you will find our conversations engaging, informative, and thought-provoking.

In this episode, we have Neha Setia who will talk about, “Next-level Personalization: How Web Scraping and Graph Databases Power Recommendation Engines“. In this episode, we explore the power of using effective web scraping tools in conjunction with graph databases to transform recommendation engines and deliver more personalised recommendations to users. Our expert guests share their insights on how to collect high-quality and reliable data, store it in a graph database, and use appropriate algorithms to make recommendations based on user behavior and product attributes. Tune in to our podcast and discover how you can take your recommendation engine to the next level with web scraping and graph databases.

Join us live on 22nd May on YouTube at 10 AM IST: (Don’t forget to click the bell icon to be notified when we go live)

Neha Setia, Developer Advocate @ Zyte
Neha is a story-teller and loves to weave stories to explain tech concepts in a funny yet relatable way. Want to know how baking cakes and Machine Learning are similar? Neha is always looking for creative ways to solve problems related to data. With a pen in hand, you will find her nerding over her current priorities such as self-actualization, systems thinking, the extended mind and parenting. (

Siddhant Agarwal, Developer Relations APAC @ Neo4j
With over a decade of industry experience, Siddhant has literally spent his entire career in building, scaling and growing communities in India & APAC and has found his passion in launching ed-tech initiatives, design innovation, growing startup ecosystem and building for the next billion users. Siddhant has previously worked with Open Financial Technologies, Google, Beahead and IBM. A design thinker at heart, he loves working with startups and helping them scale in UX and improve their designs. (
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