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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

By KDnuggets on June 11, 2025 in Partners Sponsored Content Recommender systems rely on data, but access to truly representative data has long been a challenge for researchers. Yambda comes in 3 sizes (50M, 500M, 5B) and includes baselines to underscore accessibility and usability.

Datasets 126
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GHC's wasm backend now supports Template Haskell and ghci

Tweag

Two years ago I wrote a blog post to announce that the GHC wasm backend had been merged upstream. I’ve been too lazy to write another blog post about the project since then, but rest assured, the project hasn’t stagnated. is widely taught, there’s really no tutorial nor blog post to teach me about assembly syntax for wasm!

Coding 138
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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?

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What Is a Lakebase?

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?

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Netflix’s Distributed Counter Abstraction

Netflix Tech

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. For more information regarding this, refer to our previous blog.

Datasets 104
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Unlocking the Power of Geospatial Data for Insights

Snowflake

Over the last three geospatial-centric blog posts, weve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY , GEOMETRY and H3. Load the shapefile.

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How Meta discovers data flows via lineage at scale

Engineering at Meta

In this blog, we will delve into an early stage in PAI implementation: data lineage. This took Meta multiple years to complete across our millions of disparate data assets, and well cover each of these more deeply in future blog posts: Inventorying involves collecting various code and data assets (e.g.,