Elisa Quintarelli

About Elisa Quintarelli

Elisa Quintarelli, With an exceptional h-index of 22 and a recent h-index of 12 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Database.

His recent articles reflect a diverse array of research interests and contributions to the field:

Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning

In time recommendations through an Associative Classifier and LookBackApriori: a case study

ICARE: the principles of Explainable AI in a Context-aware Recommendation APP

Mining Totally Ordered Sequential Rules to Provide Timely Recommendations

ICARE: An Intuitive Context-Aware Recommender with Explanations

The Synergies of Context and Data Aging in Recommendations

Preface of the 31st Italian Symposium on Advanced Database Systems

A Context-Aware Recommendation System with a Crowding Forecaster

Elisa Quintarelli Information

University

Position

___

Citations(all)

2134

Citations(since 2020)

473

Cited By

2222

hIndex(all)

22

hIndex(since 2020)

12

i10Index(all)

51

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Elisa Quintarelli Skills & Research Interests

Database

Top articles of Elisa Quintarelli

Title

Journal

Author(s)

Publication Date

Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning

Information Technology & Tourism

Anna Dalla Vecchia

Sara Migliorini

Elisa Quintarelli

Mauro Gambini

Alberto Belussi

2024/4/24

In time recommendations through an Associative Classifier and LookBackApriori: a case study

Anna Dalla Vecchia

Niccolò Marastoni

Elisa Quintarelli

2024

ICARE: the principles of Explainable AI in a Context-aware Recommendation APP

Anna Dalla Vecchia

Barbara Oliboni

Elisa Quintarelli

2024

Mining Totally Ordered Sequential Rules to Provide Timely Recommendations

Anna Dalla Vecchia

Niccolò Marastoni

Sara Migliorini

Barbara Oliboni

Elisa Quintarelli

2023/8/31

ICARE: An Intuitive Context-Aware Recommender with Explanations

Barbara Oliboni

Anna Dalla Vecchia

Niccolò Marastoni

Elisa Quintarelli

2023/8/17

The Synergies of Context and Data Aging in Recommendations

Anna Dalla Vecchia

Niccolò Marastoni

Barbara Oliboni

Elisa Quintarelli

2023/8/10

Preface of the 31st Italian Symposium on Advanced Database Systems

CEUR Workshop Proceedings

Diego Calvanese

Nicola Ferro

Claudia Diamantini

Gianmaria Silvello

Stefano Marchesin

...

2023

A Context-Aware Recommendation System with a Crowding Forecaster

CEUR WORKSHOP PROCEEDINGS

Anna Dalla Vecchia

Sara Migliorini

Elisa Quintarelli

Alberto Belussi

2023

Tracking social provenance in chains of retweets

Knowledge and Information Systems

Sara Migliorini

Mauro Gambini

Elisa Quintarelli

Alberto Belussi

2023/10

Accounting for Bossy Users in Context-Aware Group Recommendations.

Davide Azzalini

Elisa Quintarelli

Emanuele Rabosio

Letizia Tanca

2022

Sequence recommendations for groups: A dynamic approach to balance preferences

Information Systems

Sara Migliorini

Elisa Quintarelli

Mauro Gambini

Alberto Belussi

Damiano Carra

2022/9/1

Forecasting POI occupation with contextual machine learning

Alberto Belussi

Andrea Cinelli

Anna Dalla Vecchia

Sara Migliorini

Michele Quaresmini

...

2022/8/29

Explainable recommendations for wearable sensor data

Niccoló Marastoni

Barbara Oliboni

Elisa Quintarelli

2022/7/26

FARGO: a Fair, context-AwaRe, Group recOmmender system

Davide Azzalini

Elisa Quintarelli

Emanuele Rabosio

Letizia Tanca

2022/4/10

Tracking data provenance of archaeological temporal information in presence of uncertainty

ACM Journal on Computing and Cultural Heritage (JOCCH)

Sara Migliorini

Elisa Quintarelli

Alberto Belussi

2022/4/8

CoPart: a context-based partitioning technique for big data

Journal of Big Data

Sara Migliorini

Alberto Belussi

Elisa Quintarelli

Damiano Carra

2021/12

Promoting data provenance tracking in the archaeological interpretation process

Sara Migliorini

Alberto Belussi

Elisa Quintarelli

2020

A context-based approach for partitioning big data

Sara Migliorini

Alberto Belussi

Elisa Quintarelli

Damiano Carra

2020

See List of Professors in Elisa Quintarelli University(Politecnico di Milano)