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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03252026-111811


Tipo di tesi
Tesi di laurea magistrale
Autore
RUSTEMI, AJLA
URN
etd-03252026-111811
Titolo
Classification for Joint Search and Recommendation
Dipartimento
INFORMATICA
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Relatori
relatore Perego, Raffaele
relatore Nardini, Franco Maria
correlatore Muntean, Cristina Ioana
controrelatore Guidi, Barbara
Parole chiave
  • conversational search
  • information retrieval
  • recommender systems
Data inizio appello
10/04/2026
Consultabilità
Completa
Riassunto (Inglese)
This thesis investigates the integration of search and recommendation systems in a unified framework. It reviews existing approaches in information retrieval and recommender systems, with particular attention to conversational and exploratory search scenarios. The work proposes a classification of methods for joint search and recommendation, highlighting how different techniques address user intent and information needs. The goal is to better understand how these systems can provide more effective and personalized support to users in complex information-seeking tasks.
Riassunto (Italiano)
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