Vahabi, Hossein (2012) Recommendation techniques for Web search and social media. Advisor: Baeza-Yates, Prof. Ricardo. Coadvisor: Silvestri, Dr. Fabrizio . pp. 170. [IMT PhD Thesis]
|
Text
Vahabi_phdthesis.pdf - Published Version Available under License Creative Commons Attribution No Derivatives. Download (1MB) | Preview |
Abstract
Recommenders aim to solve the information and interaction overload. A recommender system is a tool that identifies highly relevant items of interest for a user. In this thesis we aim to harness the information available through Web to build recommender systems. In particularwe study on a number of different recommendation problems: "correct tag recommendation", "query recommendation", "tweet recommendation", and "tourist points of interest recommendation". For each problem, we describe and evaluate effective solutions using novel efficient techniques.
| Item Type: | IMT PhD Thesis |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| PhD Course: | Computer Science and Engineering |
| Identification Number: | https://doi.org/10.6092/imtlucca/e-theses/86 |
| NBN Number: | urn:nbn:it:imtlucca-27121 |
| Date Deposited: | 19 Jul 2012 10:51 |
| URI: | http://e-theses.imtlucca.it/id/eprint/86 |
Actions (login required, only for staff repository)
 |
View Item |
