Towards Using Cached Data Mining for Large Scale Recommender Systems

Recommender systems are becoming increasingly popular. As these systems become commonplace and the number of users increases, it will become important for these systems to be able to cope with a large and diverse set of users whose recommendation needs may be very different from each other. In particular, large scale recommender systems will need to ensure that users' requests for recommendations can be answered with low response times and high throughput.

Provided by: Columbia University Topic: Big Data Date Added: Oct 2010 Format: PDF

Find By Topic