In December 2023, a paper titled "Recommender Systems with Generative Retrieval" [1] was presented by researchers at NeurIPS 2023. This paper introduced a novel recommender system, referred to as 'TIGER,' which garnered significant attention due to its innovative approach and state-of-the-art results in sequential recommendation tasks.

Understanding human behavior is a complex and challenging task. Behavioral modeling domain spanning tasks such as recommendation, propensity-to-buy, or LTV, require solutions tailored to domain's specific requirements. However, solutions are often copy-pasted from other domains. In behavioral modeling, we aim to predict future behaviors based on user'

When we created our EMDE algorithm we primarily had in mind the domain of behavioral profiling. For this reason, we were looking for a method to aggregate multiple events represented by various types of embeddings. However recently, a similar method was developed in the visual domain for two-dimensional data. Researchers

In this article we introduce BaseModel, a tool which makes the most of event data reflecting user behavior. Working with clients in many different industries, we have observed that large company data is often underutilized. Here we will discuss where our research on BaseModel arises from, how we meet strict

Enhancing the capabilities of TerrariumDB, a real-time, schema-less database engine, is our top priority. Currently, our analytics backend relies on a JSON-based API, which proves vital on a daily basis. However, we are excited to announce the integration of SQL support, paving the way for a future of expanded functionality

Last year, in the Terrarium Team we’ve decided to migrate our internal network communication from REST and WebSockets to gRPC. TerrariumDB is a distributed database system so choosing the right protocol can significantly improve its performance, similar to how optimizing code or algorithms can bring about similar benefits. Our

There are numerous cutting-edge technologies for real-time analytics that can be categorized into various types, each catering to distinct purposes and necessitating different technologies and approaches. Examples include Streaming Processing, Time Series Databases, Real-time Monitoring and Alerting, and more. In this article, we will explore how our customer classifies Synerise

In the TerrariumDB, we have three types of nodes: Agent, Gateway (we named it ScorpIO), and Controller: * A Controller is responsible for the configuration of Agent nodes and Gateway and handles transactions, * An Agent is responsible for managing data storage and executing crucial compute operations for optimal performance * ScorpIO is