Marco Pavan

According to our database, Marco Pavan authored at least 10 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

Effectiveness of Data Enrichment on Categorization: Two Case Studies on Short Texts and User Movements.

Marco Pavan

PhD thesis, 2017

Leveraging Conversation Structure on Social Media to Identify Potentially Influential Users.

Dario De Nart, Dante Degl'Innocenti, Marco Pavan

CoRR, 2017

2016

Exploiting News to Categorize Tweets: Quantifying the Impact of Different News Collections.

Marco Pavan, Stefano Mizzaro, Matteo Bernardon, Ivan Scagnetto

Proceedings of the First International Workshop on Recent Trends in News Information Retrieval co-located with 38th European Conference on Information Retrieval (ECIR 2016), 2016

2015

Finding Important Locations: A Feature-Based Approach.

Marco Pavan, Stefano Mizzaro, Ivan Scagnetto, Andrea Beggiato

Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

Semantic enrichment for adaptive expert search.

Marco Pavan, Thebin Lee, Ernesto William De Luca

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

Semantic-based Expert Search in Textbook Research Archives.

Marco Pavan, Ernesto William De Luca

Proceedings of the 5th International Workshop on Semantic Digital Archives co-located with 19th International Conference on Theory and Practice of Digital Libraries (TPDL 2015), 2015

Content-Based Similarity of Twitter Users.

Stefano Mizzaro, Marco Pavan, Ivan Scagnetto

Proceedings of the Advances in Information Retrieval, 2015

2014

Short text categorization exploiting contextual enrichment and external knowledge.

Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Martino Valenti

Proceedings of the SoMeRA'14, 2014

A context-aware retrieval system for mobile applications.

Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Ivano Zanello

Proceedings of the 4th Workshop on Context-Awareness in Retrieval and Recommendation, 2014

Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach.

Marco Pavan, Stefano Mizzaro, Ivan Scagnetto

Proceedings of the Information Filtering and Retrieval, 2014