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9. Encoding Exogenous Semantics

Author

Lops, Pasquale, Musto, Cataldo, Narducci, Fedelucio, Semeraro, Giovanni, Lops, Pasquale, Musto, Cataldo, Narducci, Fedelucio, and Semeraro, Giovanni

Published
2019
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11. Introduction

Author

Lops, Pasquale, Musto, Cataldo, Narducci, Fedelucio, Semeraro, Giovanni, Lops, Pasquale, Musto, Cataldo, Narducci, Fedelucio, and Semeraro, Giovanni

Published
2019
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16. Handling Modifiers in Question Answering over Knowledge Graphs

Author

Siciliani, Lucia, Diefenbach, Dennis, Maret, Pierre, Basile, Pierpaolo, Lops, Pasquale, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Alviano, Mario, editor, Greco, Gianluigi, editor, and Scarcello, Francesco, editor

Published
2019
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18. Recommender Systems, Basics of

Author

de Gemmis, Marco, Lops, Pasquale, Polignano, Marco, Semeraro, Giovanni, Section Editor, Musto, Cataldo, Section Editor, Alhajj, Reda, editor, and Rokne, Jon, editor

Published
2018
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19. Improving the User Experience with a Conversational Recommender System

Author

Narducci, Fedelucio, de Gemmis, Marco, Lops, Pasquale, Semeraro, Giovanni, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Ghidini, Chiara, editor, Magnini, Bernardo, editor, Passerini, Andrea, editor, and Traverso, Paolo, editor

Published
2018
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24. SABRE: A Sentiment Aspect-Based Retrieval Engine

Author

Caputo, Annalina, Basile, Pierpaolo, de Gemmis, Marco, Lops, Pasquale, Semeraro, Giovanni, Rossiello, Gaetano, Kacprzyk, Janusz, Series editor, Lai, Cristian, editor, Giuliani, Alessandro, editor, and Semeraro, Giovanni, editor

Published
2017
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25. Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features

Author

Musto, Cataldo, Lops, Pasquale, de Gemmis, Marco, Semeraro, Giovanni, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Esposito, Floriana, editor, Basili, Roberto, editor, Ferilli, Stefano, editor, and Lisi, Francesca A., editor

Published
2017
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26. Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data

Author

Musto, Cataldo, Semeraro, Giovanni, de Gemmis, Marco, Lops, Pasquale, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Blomqvist, Eva, editor, Maynard, Diana, editor, Gangemi, Aldo, editor, Hoekstra, Rinke, editor, Hitzler, Pascal, editor, and Hartig, Olaf, editor

Published
2017
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27. Temporal Semantic Analysis of Conference Proceedings

Author

Narducci, Fedelucio, Basile, Pierpaolo, Lops, Pasquale, de Gemmis, Marco, Semeraro, Giovanni, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jose, Joemon M, editor, Hauff, Claudia, editor, Altıngovde, Ismail Sengor, editor, Song, Dawei, editor, Albakour, Dyaa, editor, Watt, Stuart, editor, and Tait, John, editor

Published
2017
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33. Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems

Author

Musto, Cataldo, Semeraro, Giovanni, de Gemmis, Marco, Lops, Pasquale, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ferro, Nicola, editor, Crestani, Fabio, editor, Moens, Marie-Francine, editor, Mothe, Josiane, editor, Silvestri, Fabrizio, editor, Di Nunzio, Giorgio Maria, editor, Hauff, Claudia, editor, and Silvello, Gianmaria, editor

Published
2016
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46. 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23).

Author

Brusilovsky, Peter, de Gemmis, Marco, Felfernig, Alexander, Lops, Pasquale, Polignano, Marco, Semeraro, Giovanni, Willemsen, Martijn C., Brusilovsky, Peter, de Gemmis, Marco, Felfernig, Alexander, Lops, Pasquale, Polignano, Marco, Semeraro, Giovanni, and Willemsen, Martijn C.

Abstract

Recommender systems (RSs) have undoubtedly played a significant role in addressing the information overload problem by efficiently filtering and suggesting relevant items to users. These systems use both explicit and implicit user preferences to filter available data and suggest items that might align with the user’s interests. This can range from recommending movies on a streaming platform based on previous views to suggesting products for purchase based on browsing history. In their early stages, RSs focused on enhancing their algorithmic capabilities to provide accurate recommendations. However, the overemphasis on algorithms resulted in neglecting the human aspect of the user experience. Recognizing this limitation, recent trends in RSs have started to shift their attention toward incorporating Symbiotic Human-Machines Decision Making models. These models aim to provide users with dynamic and persuasive interfaces that empower them to understand and engage better with the recommendations. This shift represents an essential step in creating recommender systems that truly resonate with users and create a more enjoyable, trustable, and user-friendly experience. A crucial aspect of recommender systems’ evolution lies in their proactive nature. Early works focused on designing systems that could proactively anticipate user preferences and needs. While this remains a valuable trait, modern RSs also recognize the importance of giving users control and transparency over their recommendations. Striking the right balance between proactivity and user control ensures that the system supports users without being overly intrusive, thus enhancing their overall satisfaction. These aspects are the main discussion topics of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems at RecSys’23. In this summary, we introduce the workshop’s motivation and view, review its history, and discuss the most critical issues that deserve attention for future resear

Published
2023

49. Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation

Author

Musto, Cataldo, Semeraro, Giovanni, Lops, Pasquale, de Gemmis, Marco, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Dimitrova, Vania, editor, Kuflik, Tsvi, editor, Chin, David, editor, Ricci, Francesco, editor, Dolog, Peter, editor, and Houben, Geert-Jan, editor

Published
2014
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