Paper
Linked Open Data for New Item Problem Solving in Collaborative Recommender Systems
Hanane ZITOUNI✉, Souham MESHOUL, Anfal KADI
Abstract
Data on the web has grown insanely large to the point that humans cannot deal with using traditional tools. Hence the need for adequate tools to filter such huge amount of information and extract only the useful part has risen. Collaborative Recommender Systems based on Collaborative Filtering are one of the de facto tools for such purpose. Their primary goal is to suggest the suitable items for t...
Details
| Original language | English |
|---|---|
| Journal | 2018 International Conference on Smart Communications in Network Technologies (SaCoNeT) |
| Article number | 8585443 |
| Pages | 217-221 |
| DOI | 10.1109/saconet.2018.8585443 |
| Publication status | Published — 2018 |