Burst the Filter Bubble: Using Semantic Web to Enable Serendipity. - Valentina Maccatrozzo (ISWC (2), 2012)

Crowdsourced Evaluation of Semantic Patterns for Recommendation. - Valentina Maccatrozzo; Lora Aroyo; Willem Robert van Hage (UMAP Workshops, 2013)

A Semantic Pattern-Based Recommender. - Valentina Maccatrozzo; Davide Ceolin; Lora Aroyo; Paul Groth (SemWebEval@ESWC, 2014)

Two Procedures for Analyzing the Reliability of Open Government Data. - Davide Ceolin; Luc Moreau 001; Kieron O'Hara; Wan J. Fokkink; Willem Robert van Hage; Valentina Maccatrozzo; Alistair Sackley; Guus Schreiber; Nigel Shadbolt (IPMU (1), 2014)

Towards the Definition of an Ontology for Trust in (Web) Data. - Davide Ceolin; Archana Nottamkandath; Wan J. Fokkink; Valentina Maccatrozzo (URSW, 2014)

Combining User Reputation and Provenance Analysis for Trust Assessment. - Davide Ceolin; Paul Groth; Valentina Maccatrozzo; Wan J. Fokkink; Willem Robert van Hage; Archana Nottamkandath (ACM J. Data Inf. Qual., 2016)

SIRUP: Serendipity In Recommendations via User Perceptions. - Valentina Maccatrozzo; Manon Terstall; Lora Aroyo; Guus Schreiber (IUI, 2017)

Everybody, More or Less, likes Serendipity. - Valentina Maccatrozzo; Eveline van Everdingen; Lora Aroyo; Guus Schreiber (UMAP (Adjunct Publication), 2017)

Modeling and Matching Digital Data Marketplace Policies. - Sara Shakeri; Valentina Maccatrozzo; Lourens E. Veen; Rena Bakhshi; Leon Gommans; Cees de Laat; Paola Grosso (eScience, 2019)

The Role of Serendipity in User-Curated Music Playlists. - Valentina Maccatrozzo; Tobias Kuhn; Davide Ceolin; Jacco van Ossenbruggen (K-CAP, 2023)