This paper investigates the problem of generating on-demand recommendations over a dataset of items where the input is a selection of a few of the items. As an ...

This paper investigates the problem of generating on-demand recommendations over a dataset of items where the input is a selection of a few of the items.

As entertainment companies and media outlets turn to online distribution methods, data-driven recommender systems have become increasingly important.

Oct 17, 2023 · In this blog post, I will give an overview of online recommendation systems, the various approaches for building different subcomponents, and offer some ...

This paper borrows the results of information retrieval to discuss the traditional recommender system methods by using the preference relation defined on the ...

Missing: set- based

Jun 8, 2023 · Step 1: Collect data to base personal recommendations on · Step 2: Use AI to determine which algorithm to use based on user's context · Step 3: ...

Recommendations AI enables retailers and media companies to deliver highly personalized product recommendations at scale using state-of-the-art machine ...

We propose a knowledge-based recommendation approach that aims to guide a cartographer through the process of map-making.

This article presents a comprehensive overview of the current state of video recommender systems (VRS), exploring the algorithms used, their applications, and ...