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Topic Description Read Time
BaseModel vs TIGER for sequential recommendations The comparison between BaseModel and TIGER reveals substantial differences in their architectural choices and performance. 8 min read
BaseModel vs HSTU for sequential recommendations To evaluate BaseModel against HSTU, we replicated the exact data preparation, training, validation, and testing protocols described in the HSTU paper. 8 min read
Fourier Feature Encoding of numerical features Pre-processing raw input data is a very important part of any machine learning pipeline, often crucial for end model performance 8 min read
Why We Need Inhuman Artificial Intelligence We continuously wonder how much longer it will take until AI reaches human skill level in these tasks - or, when does AI become "truly" intelligent. 6 min read
EMDE vs Multiresolution Hash Encoding When we created our EMDE algorithm we primarily had in mind the domain of behavioral profiling. 12 min read
Efficient integer pair hashing Mental models are simple expressions of complex processes or relationships. 8 min read
Cleora: how we handle billion-scale graph data We have recently open sourced Cleora — an ultra fast vertex embedding tool for graphs & hypergraphs. 9 min read
Towards a multi-purpose behavioral model In various subfields of AI research, there is a tendency to create models which can serve many different tasks with minimal fine-tuning effort. 8 min read
EMDE Illustrated In this article we provide some intuitive explanations of our objectives and theoretical background of the Efficient Manifold Density Estimator (EMDE) 10 min read
How we challenge the Transformer Having achieved remarkable successes in natural language and image processing, Transformers have finally found their way into the area of recommendation. 7 min read

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