Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLudovico Boratto
Person information
- affiliation: University of Cagliari, Italy
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j47]Pablo Sánchez
, Alejandro Bellogín, Ludovico Boratto:
Bias characterization, assessment, and mitigation in location-based recommender systems. Data Min. Knowl. Discov. 37(5): 1885-1929 (2023)- [j46]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Practical perspectives of consumer fairness in recommendation. Inf. Process. Manag. 60(2): 103208 (2023) - [j45]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowl. Based Syst. 260: 110098 (2023) - [c71]Ernesto William De Luca, Erasmo Purificato, Ludovico Boratto, Stefano Marrone, Carlo Sansone:
First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U). CHItaly 2023: 36:1-36:3 - [c70]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. ECIR (3) 2023: 3-19 - [c69]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). ECIR (3) 2023: 373-376 - [c68]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness Benchmark in Recommendation. IIR 2023: 60-65 - [c67]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. IIR 2023: 111-116 - [c66]Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Towards Explainable Educational Recommendation through Path Reasoning Methods. IIR 2023: 131-136 - [c65]Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia:
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys 2023: 467-478 - [c64]Alejandro Ariza-Casabona, Maria Salamó, Ludovico Boratto, Gianni Fenu:
Towards Self-Explaining Sequence-Aware Recommendation. RecSys 2023: 904-911 - [c63]Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. RecSys 2023: 912-918 - [c62]Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. SIGIR 2023: 2354-2358 - [c61]Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. SIGIR 2023: 3165-3169 - [c60]Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. UMAP 2023: 309-312 - [e9]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers. Communications in Computer and Information Science 1840, Springer 2023, ISBN 978-3-031-37248-3 [contents] - [i17]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. CoRR abs/2301.05944 (2023) - [i16]Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu:
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR abs/2304.06182 (2023) - [i15]Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. CoRR abs/2307.00654 (2023) - [i14]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR abs/2308.12083 (2023) - 2022
- [j44]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. Int. J. Artif. Intell. Educ. 32(3): 636-684 (2022) - [j43]Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Guilherme Ramos:
Enabling cross-continent provider fairness in educational recommender systems. Future Gener. Comput. Syst. 127: 435-447 (2022) - [j42]Elizabeth Gómez, Ludovico Boratto, Maria Salamó:
Provider fairness across continents in collaborative recommender systems. Inf. Process. Manag. 59(1): 102719 (2022) - [j41]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. Inf. Process. Manag. 59(1): 102791 (2022) - [j40]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Robust reputation independence in ranking systems for multiple sensitive attributes. Mach. Learn. 111(10): 3769-3796 (2022) - [j39]Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg:
ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization. SIGWEB Newsl. 2022(Autumn): 1:1-1:5 (2022) - [j38]Alejandro Bellogín, Ludovico Boratto, Federica Cena:
33rd ACM conference on hypertext and social media. SIGWEB Newsl. 2022(Autumn): 2:1-2:7 (2022) - [j37]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
XRecSys: A framework for path reasoning quality in explainable recommendation. Softw. Impacts 14: 100404 (2022) - [j36]João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro:
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery. ACM Trans. Knowl. Discov. Data 16(2): 26:1-26:35 (2022) - [j35]Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni:
Fair performance-based user recommendation in eCoaching systems. User Model. User Adapt. Interact. 32(5): 839-881 (2022) - [c59]Joaquin Dario Silveira, Maria Salamó, Ludovico Boratto:
Enabling Reproducibility in Group Recommender Systems. CCIA 2022: 115-124 - [c58]Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. CIKM 2022: 4399-4403 - [c57]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). ECIR (2) 2022: 547-551 - [c56]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. ECIR (1) 2022: 552-566 - [c55]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. IIR 2022 - [c54]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Hands on Explainable Recommender Systems with Knowledge Graphs. RecSys 2022: 710-713 - [c53]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. SIGIR 2022: 646-656 - [c52]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. SIGIR 2022: 1839-1843 - [e8]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1610, Springer 2022, ISBN 978-3-031-09315-9 [contents] - [e7]Alejandro Bellogín, Ludovico Boratto, Federica Cena:
HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022. ACM 2022, ISBN 978-1-4503-9233-4 [contents] - [e6]Alejandro Bellogín, Ludovico Boratto, Olga C. Santos, Liliana Ardissono, Bart P. Knijnenburg:
UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4 - 7, 2022. ACM 2022, ISBN 978-1-4503-9207-5 [contents] - [i13]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. CoRR abs/2201.08614 (2022) - [i12]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes. CoRR abs/2203.16663 (2022) - [i11]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. CoRR abs/2204.11241 (2022) - [i10]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. CoRR abs/2204.11243 (2022) - [i9]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality. CoRR abs/2209.04954 (2022) - 2021
- [j34]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Connecting user and item perspectives in popularity debiasing for collaborative recommendation. Inf. Process. Manag. 58(1): 102387 (2021) - [j33]Mihnea Tufis, Ludovico Boratto:
Toward a Complete Data Valuation Process. Challenges of Personal Data. ACM J. Data Inf. Qual. 13(4): 20:1-20:7 (2021) - [j32]David Contreras, Maria Salamó, Ludovico Boratto:
Integrating Collaboration and Leadership in Conversational Group Recommender Systems. ACM Trans. Inf. Syst. 39(4): 41:1-41:32 (2021) - [j31]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 421-455 (2021) - [c51]Luca Piras, Ludovico Boratto, Guilherme Ramos:
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. CIKM 2021: 3368-3372 - [c50]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Reputation Equity in Ranking Systems. CIKM 2021: 3378-3382 - [c49]Elizabeth Gómez, Ludovico Boratto, Maria Salamó:
Disparate Impact in Item Recommendation: A Case of Geographic Imbalance. ECIR (1) 2021: 190-206 - [c48]Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salamó:
From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. ECIR (2) 2021: 201-208 - [c47]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). ECIR (2) 2021: 697-700 - [c46]Ludovico Boratto, Mirko Marras:
Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. ICDE 2021: 2362-2364 - [c45]Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet:
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. ICWSM 2021: 961-970 - [c44]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. IIR 2021 - [c43]Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Mirko Marras:
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. SIGIR 2021: 1808-1812 - [c42]Ludovico Boratto, Mirko Marras:
Advances in Bias-aware Recommendation on the Web. WSDM 2021: 1147-1149 - [e5]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings. Communications in Computer and Information Science 1418, Springer 2021, ISBN 978-3-030-78817-9 [contents] - [i8]Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet:
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. CoRR abs/2104.05809 (2021) - 2020
- [j30]Marc Güell, Maria Salamó, David Contreras, Ludovico Boratto:
Integrating a cognitive assistant within a critique-based recommender system. Cogn. Syst. Res. 64: 1-14 (2020) - [j29]Ludovico Boratto, Matteo Manca, Giuseppe Lugano, Marián Gogola:
Characterizing user behavior in journey planning. Computing 102(5): 1245-1258 (2020) - [j28]Guilherme Ramos, Ludovico Boratto, Carlos Caleiro:
On the negative impact of social influence in recommender systems: A study of bribery in collaborative hybrid algorithms. Inf. Process. Manag. 57(2): 102058 (2020) - [j27]Ludovico Boratto, Eloisa Vargiu:
Data-driven user behavioral modeling: from real-world behavior to knowledge, algorithms, and systems. J. Intell. Inf. Syst. 54(1): 1-4 (2020) - [j26]Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo:
ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum 54(1): 7:1-7:11 (2020) - [j25]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). SIGIR Forum 54(1): 9:1-9:5 (2020) - [j24]Ludovico Boratto, Salvatore Carta, Federico Ibba, Fabrizio Mulas, Paolo Pilloni:
Modeling real-time data and contextual information from workouts in eCoaching platforms to predict users' sharing behavior on Facebook. User Model. User Adapt. Interact. 30(3): 395-411 (2020) - [c41]Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo:
International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). ECIR (2) 2020: 637-640 - [c40]Silvia Basile, Cristian Consonni, Matteo Manca, Ludovico Boratto:
Matching User Preferences and Behavior for Mobility. HT 2020: 141-150 - [c39]Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo:
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM 2020: 165-175 - [c38]Guilherme Ramos, Ludovico Boratto:
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. SIGIR 2020: 2061-2064 - [c37]Ludovico Boratto, Mirko Marras:
Hands on Data and Algorithmic Bias in Recommender Systems. UMAP 2020: 388-389 - [c36]Francesca Maridina Malloci, Laura Portell Penadés, Ludovico Boratto, Gianni Fenu:
A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects. WISE (2) 2020: 143-154 - [e4]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings. Communications in Computer and Information Science 1245, Springer 2020, ISBN 978-3-030-52484-5 [contents] - [i7]João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro:
A Robust Reputation-based Group Ranking System and its Resistance to Bribery. CoRR abs/2004.06223 (2020) - [i6]Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo:
ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR abs/2005.06748 (2020) - [i5]Guilherme Ramos, Ludovico Boratto:
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. CoRR abs/2005.12371 (2020) - [i4]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation. CoRR abs/2006.04275 (2020) - [i3]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems. CoRR abs/2006.04279 (2020) - [i2]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Equality of Learning Opportunity in Personalized Recommendations. CoRR abs/2006.04282 (2020)
2010 – 2019
- 2019
- [j23]Lucio Davide Spano, Ludovico Boratto:
Advances in computer-human interaction for recommender systems (AdCHIReS). Int. J. Hum. Comput. Stud. 121: 1-3 (2019) - [j22]Ludovico Boratto, Andreas Kaltenbrunner, Giovanni Stilo:
Guest editorial: social media for personalization and search. Inf. Retr. J. 22(1-2): 1-3 (2019) - [j21]Lorena Recalde, Jonathan Mendieta, Ludovico Boratto, Luis Terán, Carmen Vaca, Gabriela Baquerizo:
Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations. IEEE Trans. Emerg. Top. Comput. 7(2): 206-217 (2019) - [c35]Oriol Jiménez, Maria Salamó, Ludovico Boratto:
Distance-Aware Event Recommendation in Event-Based Social Networks. CCIA 2019: 235-244 - [c34]Ludovico Boratto, Gianni Fenu, Mirko Marras:
The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. ECIR (1) 2019: 457-472 - 2018
- [j20]Paolo Pilloni, Luca Piras, Salvatore Carta, Gianni Fenu, Fabrizio Mulas, Ludovico Boratto:
Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation. Computer 51(3): 36-42 (2018) - [j19]Matteo Manca, Ludovico Boratto, Salvatore Carta:
Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system. Inf. Syst. Frontiers 20(4): 825-839 (2018) - [j18]Ludovico Boratto, Salvatore Carta, Andreas Kaltenbrunner, Matteo Manca:
Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era. Inf. Syst. Frontiers 20(6): 1153-1156 (2018) - [j17]Gianni Fenu, Mirko Marras, Ludovico Boratto:
A multi-biometric system for continuous student authentication in e-learning platforms. Pattern Recognit. Lett. 113: 83-92 (2018) - [j16]Ludovico Boratto, Giovanni Stilo:
Report on the Workshop on Social Aspects in Personalization And Search (SoAPS). SIGIR Forum 52(1): 147-149 (2018) - [c33]Ludovico Boratto, Stefano Faralli, Christian Morbidoni, Gabriella Pasi, Giovanni Stilo:
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). CIKM Workshops 2018 - [c32]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Luca Piras:
Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users. ECIR 2018: 371-382 - [c31]Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni:
Predicting Workout Quality to Help Coaches Support Sportspeople. HealthRecSys@RecSys 2018: 8-12 - [c30]Giuliano Armano, Sebastiano Battiato, Davide Bennato, Ludovico Boratto, Salvatore M. Carta, Tommaso Di Noia, Eugenio Di Sciascio, Alessandro Ortis, Diego Reforgiato Recupero:
NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. SEBD 2018 - [c29]Mirko Marras, Matteo Manca, Ludovico Boratto, Gianni Fenu, David Laniado:
BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration. WWW (Companion Volume) 2018: 219-222 - [p2]Ludovico Boratto, Alexander Felfernig:
Group Recommendations. Collaborative Recommendations 2018: 203-232 - 2017
- [j15]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Roberto Saia:
Semantics-aware content-based recommender systems: Design and architecture guidelines. Neurocomputing 254: 79-85 (2017) - [j14]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios. Inf. Sci. 378: 424-443 (2017) - [j13]Roberto Saia, Ludovico Boratto, Salvatore Carta:
Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System. J. Comput. 12(1): 1-9 (2017) - [j12]Matteo Manca, Ludovico Boratto, Victor Morell Roman, Oriol Martori i Gallissà, Andreas Kaltenbrunner:
Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study. Online Soc. Networks Media 1: 56-69 (2017) - [j11]Ludovico Boratto, Salvatore Carta, Gianni Fenu, Matteo Manca, Fabrizio Mulas, Paolo Pilloni:
The role of social interaction on users motivation to exercise: A persuasive web framework to enhance the self-management of a healthy lifestyle. Pervasive Mob. Comput. 36: 98-114 (2017) - [j10]Ludovico Boratto, Salvatore Carta, Fabrizio Mulas, Paolo Pilloni:
An e-coaching ecosystem: design and effectiveness analysis of the engagement of remote coaching on athletes. Pers. Ubiquitous Comput. 21(4): 689-704 (2017) - [j9]Ludovico Boratto, Andreas Kaltenbrunner, Giovanni Stilo:
Report on the Workshop on Social Media for Personalization And Search (SoMePeAS). SIGIR Forum 51(1): 42-44 (2017) - [c28]Maurizio Atzori, Ludovico Boratto, Lucio Davide Spano:
Towards Chatbots as Recommendation Interfaces. EnCHIReS@EICS 2017: 26-31 - [c27]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Second workshop on engineering computer-human interaction in recommender systems (EnCHIReS). EICS 2017: 161-163 - [c26]Lorena Recalde, David F. Nettleton, Ricardo Baeza-Yates, Ludovico Boratto:
Detection of Trending Topic Communities: Bridging Content Creators and Distributors. HT 2017: 205-213 - [c25]Paolo Pilloni, Luca Piras, Ludovico Boratto, Salvatore Carta, Gianni Fenu, Fabrizio Mulas:
Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. HealthRecSys@RecSys 2017: 6-9 - [e3]Ludovico Boratto, Andreas Kaltenbrunner, Giovanni Stilo:
Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval, SoMePeAS@ECIR 2017, Aberdeen, Scotland, UK, April 9, 2017. CEUR Workshop Proceedings 1840, CEUR-WS.org 2017 [contents] - [e2]Ludovico Boratto, Salvatore Carta, Gianni Fenu:
Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017), Lisbon, Portugal, June 26, 2017. CEUR Workshop Proceedings 1945, CEUR-WS.org 2017 [contents] - [i1]