Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach. - Marco Pavan; Stefano Mizzaro; Ivan Scagnetto (DART@AI*IA (Revised and Invited Papers), 2014)

A context-aware retrieval system for mobile applications. - Stefano Mizzaro; Marco Pavan; Ivan Scagnetto; Ivano Zanello (CaRR@ECIR, 2014)

Short text categorization exploiting contextual enrichment and external knowledge. - Stefano Mizzaro; Marco Pavan; Ivan Scagnetto; Martino Valenti (SoMeRA@SIGIR, 2014)

Content-Based Similarity of Twitter Users. - Stefano Mizzaro; Marco Pavan; Ivan Scagnetto (ECIR, 2015)

Semantic-based Expert Search in Textbook Research Archives. - Marco Pavan; Ernesto William De Luca (SDA@TPDL, 2015)

Semantic enrichment for adaptive expert search. - Marco Pavan; Thebin Lee; Ernesto William De Luca (I-KNOW, 2015)

Finding Important Locations: A Feature-Based Approach. - Marco Pavan; Stefano Mizzaro; Ivan Scagnetto; Andrea Beggiato (MDM (1), 2015)

Exploiting News to Categorize Tweets: Quantifying the Impact of Different News Collections. - Marco Pavan; Stefano Mizzaro; Matteo Bernardon; Ivan Scagnetto (NewsIR@ECIR, 2016)

Leveraging Conversation Structure on Social Media to Identify Potentially Influential Users. - Dario De Nart; Dante Degl'Innocenti; Marco Pavan (CoRR, 2017)

Effectiveness of Data Enrichment on Categorization: Two Case Studies on Short Texts and User Movements. - Marco Pavan (2017)