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Context-Aware
Recommendation Solutions

Context-aware recommender systems (CARS) can be built to adapt the list of item recommendations to different context situations (e.g., time, location, companion, budget, weather, etc.). Users can receive the appropriate recommendations tailored by their preferences in specific contexts.

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Call for Sponsors

Giving is not just about making a donation. It is about making a difference.

We appreciate any of your supports, even simply buying us a coffee!
We may also need industry funding or collaborations for library development and mantainance. These fundings could be used to:

Support student workers or developers on the project, e.g., tution supports, RA positions, etc.
Improve the computing facilities in the research lab, e.g., purchasing machines for the students, GPU resources, etc.
Collect more context-aware data sets, e.g., data collection by assigning user questionnaires, etc.

Do not hesitate to contact us, if you are interested in!

Latest News About Sponsorship

2022-01, we received a funding from Google Cloud Platform to use their GPU resources.
2022-07, we received a funding from Amazon Web Services to use their GPU resources.

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Current and Past Sponsors

2022 - 2023

Google Cloud Platform

We thank the support and grant by Google Cloud Platform which provides us the cloud computing resources (e.g., GPU) to test and evaluate this library.