An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Form-Based Proxy Caching for Database-Backed Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Toward a personal recommender system
Toward a personal recommender system
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Web Caching And Its Applications (Kluwer International Series in Engineering and Computer Science)
Web Caching And Its Applications (Kluwer International Series in Engineering and Computer Science)
The Amsterdam Library of Object Images
International Journal of Computer Vision
Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Exploring the bounds of web latency reduction from caching and prefetching
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
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Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting.Caching has been a useful technique for reducing stress on limited resources and improving response time. In this paper, we propose an 'active caching' technique for recommender systems based on a partial order approach that not only benefits from popularity and temporal locality, but also exploits spatial locality. This approach allows the processing of answers to neighboring non-cached queries in addition to the reporting of cached query results. Test results for several data sets and recommendation techniques show substantial improvement in the cache hit ratio and computational costs, while achieving reasonable recall rates.