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Session-based Recommender Systems

Cloudera

Recommendation systems have become a cornerstone of modern life, spanning sectors that include online retail, music and video streaming, and even content publishing. These systems help us navigate the sheer volume of content on the internet, allowing us to discover what’s interesting or important to us. Want to learn more?

Systems 61
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How Generative AI is Transforming Customer Experiences in Real Time

Striim

Integrating diverse data streams from sources like CRM systems, social media, and IoT devices into a cohesive view is both time-consuming and technically demanding. Retrieval-Augmented Generation : Striim’s platform employs RAG for infusing more context into the decision-making capabilities of GenAI systems.

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How to Hack a Web Server?

Knowledge Hut

Many organizations develop web-based applications , which their users can use to interact with them. In this attack, there was no involvement of botnets , but instead, attackers used a method called mem caching ; a caching system used to speed up websites and networks. T his article tries to give an overview on Web Servers.

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Meet the 2024 Snowflake Startup Challenge Finalists

Snowflake

We are pleased to announce that BigGeo, Scientific Financial Systems and SignalFlare.ai Its Volumetric and Surface-Level Discrete Global Grid System (DGGS), which manages surface-level, subsurface and aerial data, supports the integration of diverse data forms, including 2D and 3D data, and facilitates dynamic interactions with spatial data.

Media 104
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The Recommendation System at Lyft

Lyft Engineering

Recommendation plays an important role in Lyft’s understanding of its riders and allows for customizing app experiences to better fulfill their needs. At times, recommendations are also leveraged to manage the marketplace, making sure there’s a healthy balance between ride demand and driver supply. Screenshots are illustrative.

Systems 87
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Technical Learning at Lyft: Build a Strong Data Science Team

Lyft Engineering

Snapshot Photo from a Technical Training Session CS4DS Computer science and software engineering are fundamental data science skills. Image of Rideshare Seminar Sessions Science Brown Bag Science Brown Bag provides a forum for Lyft data scientists to showcase their project achievements and promote knowledge sharing.

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What is Project Follow-up and What is its Purpose?

Knowledge Hut

We recommend that one should continuously follow up the project. Example of a Project Follow-up Let's discuss a case where a project was developed to implement a cloud-based customer relationship management (CRM) system for a large IT company. The following activities were carried out during the post-project period.

Project 52