التفاصيل البيبلوغرافية
| العنوان: |
A Context-Aware Recommendation System with a Crowding Forecaster |
| المؤلفون: |
Anna Dalla Vecchia, Sara Migliorini, Elisa Quintarelli, Alberto Belussi |
| المساهمون: |
DALLA VECCHIA, Anna, Migliorini, Sara, Quintarelli, Elisa, Belussi, Alberto |
| سنة النشر: |
2023 |
| المجموعة: |
Università degli Studi di Verona: Catalogo dei Prodotti della Ricerca (IRIS) |
| مصطلحات موضوعية: |
Recommendation systems, Crowding forecasting, Deep learning |
| الوصف: |
Recommendation systems (RSs) are increasing their popularity in recent years. Many big IT companies like Google, Amazon and Netflix, have a RS at the core of their business. In this paper, we propose a modular platform for enhancing a RS for the tourism domain with a crowding forecaster, which is able to produce an estimation about the current and future occupation of different Points of Interest (PoIs) by taking into consideration also contextual aspects. The main advantage of the proposed system is its modularity and the ability to be easily tailored to different application domains. Moreover, the use of standard and pluggable components allows the system to be integrated in different application scenarios. |
| نوع الوثيقة: |
conference object |
| وصف الملف: |
ELETTRONICO |
| اللغة: |
English |
| العلاقة: |
ispartofbook:Proceedings of the 31st Symposium of Advanced Database Systems; 31st Symposium of Advanced Database Systems (SEBD 2023); volume:3478; firstpage:632; lastpage:640; numberofpages:9; serie:CEUR WORKSHOP PROCEEDINGS; https://hdl.handle.net/11562/1104926Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85173431668 |
| الإتاحة: |
https://hdl.handle.net/11562/1104926Test |
| حقوق: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.A48DEA4A |
| قاعدة البيانات: |
BASE |
