Books
2011(1 publication)
[publication]Costa, Hernani , "Automatic Extraction and Validation of Lexical Ontologies from text: Creating Lexical Ontologies from text",  vol. 1, 2011

Journal Articles
2011(1 publication)
[publication]Gonçalo Oliveira, H,  and Pérez, L.A. and Costa, Hernani and Paulo Gomes , "Uma rede léxico-semântica de grandes dimensões para o português, extraída a partir de dicionários electrónicos", Linguamática,  vol. 3,  pp. 23-38, 2011
[citation][year=2018]Gamallo, P. and Pereira-Fariña, M. (2018). Explorando métodos non-supervisados para calcular a similitude semántica textual. Linguamática, 10(2):63–68.
[citation][year=2012]Irene Renau, Rogelio Nazar. Hypernymy relations from definiens-definiendum co-occurrence in multiple dictionary definitions. Procesamiento de Lenguaje Natural, n.49, pp 83-90. 2012

Conference Articles
2014(2 publications)
[publication]Macedo, L. and Costa, Hernani and Amilcar Cardoso , "Overcoming Information Overload with Artificial Selective Agents", in 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), 2014
[citation][year=2020]Mahdi, M. N., Ahmad, A. R., Ismail, R., Natiq, H., & Mohammed, M. A. (2020). Solution for Information Overload Using Faceted Search-A Review. IEEE Access.

[publication]Macedo, L. and Costa, Hernani and Amilcar Cardoso , "Overcoming Information Overload with Artificial Selective Agents: an Application to Travel Information Domain", in 13th International Conference on Autonomous Agents and Multiagent Systems –8th International Workshop on Agents in Traffic and Transportation, 2014

2013(3 publications)
[publication]Costa, Hernani and Macedo, L. , "Emotion-Based Recommender System for Overcoming the Problem of Information Overload", in 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, Salamanca, Spain, 2013
[citation][year=2020]Panagiotakis, C., Papadakis, H., & Fragopoulou, P. (2020). Unsupervised and supervised methods for the detection of hurriedly created profiles in recommender systems. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS.
[citation][year=2019]Cena, F., Likavec, S., & Rapp, A. (2019). Real world user model: Evolution of user modeling triggered by advances in wearable and ubiquitous computing. Information Systems Frontiers, 21(5), 1085-1110.
[citation][year=2019]Mizgajski, J., & Morzy, M. (2019). Affective recommender systems in online news industry: how emotions influence reading choices. User Modeling and User-Adapted Interaction, 29(2), 345-379.
[citation][year=2019]Cai, H., & Zhang, F. (2019). An unsupervised method for detecting shilling attacks in recommender systems by mining item relationship and identifying target items. The Computer Journal, 62(4), 579-597.
[citation][year=2019]Bielozorov, A., Bezbradica, M., & Helfert, M. (2019, July). The role of user emotions for content personalization in e-commerce: literature review. In International Conference on Human-Computer Interaction (pp. 177-193). Springer, Cham.
[citation][year=2019]Almira, C., & Maulidevi, N. U. (2019, September). Travel Itinerary Recommendation for Real World Point of Interests Using Iterated Local Search. In 2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA) (pp. 1-6). IEEE.
[citation][year=2018]Zhang, F., Zhang, Z., Zhang, P., & Wang, S. (2018). UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering. Knowledge-Based Systems, 148, 146-166.
[citation][year=2018]Meng, X., Wang, S., Liu, H., & Zhang, Y. (2018, April). Exploiting emotion on reviews for recommender systems. In Thirty-Second AAAI Conference on Artificial Intelligence.
[citation][year=2018]Cena, F., Rapp, A., Musto, C., & Lops, P. (2018, July). Towards a conceptual model for holistic recommendations. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 207-210).
[citation][year=2018]Panagiotakis, C., Papadakis, H., & Fragopoulou, P. (2018, September). Detection of hurriedly created abnormal profiles in recommender systems. In 2018 International Conference on Intelligent Systems (IS) (pp. 499-506). IEEE.
[citation][year=2018]Deng, F., Ren, P., Qin, Z., Huang, G., & Qin, Z. (2018). Leveraging Image Visual Features in Content-Based Recommender System. Scientific Programming, 2018.
[citation][year=2018]Mustafa, G. (2018). A methodology for contextual recommendation using artificial neural networks. PhD Thesis, University of Bedfordshire
[citation][year=2018]Morisio, M., & Verazzo, G. (2018). Multi-channel Conversational Agent for Personalized Music Recommendations. MSc Thesis, Politecnico di Torino.
[citation][year=2018]Thendral, S. E., & Valliyammai, C. (2018). Understanding Personalization of Recommender System: A Domain Perspective. International Journal of Applied Engineering Research, 13(15), 12422-12428.
[citation][year=2017]Hadžidedi?, S. (2017). Introducing emotion. Computer Science.
[citation][year=2015]Parizi, A. H., & Kazemifard, M. (2015, April). Emotional news recommender system. In 2015 Sixth International Conference of Cognitive Science (ICCS) (pp. 37-41). IEEE.
[citation][year=2015]Vodyaho, A., & Zhukova, N. (2015, April). Implementation of Agile Concepts in Recommender Systems for Data Processing and Analyses. In International Conference on Analysis of Images, Social Networks and Texts (pp. 443-457). Springer, Cham.
[citation][year=2015]Wakil, Karzan and Bakhtyar, Rebwar and Ali, Karwan and Alaadin, Kozhin "Improving Web Movie Recommender System Based on Emotions". Int. Journal of Advanced Computer Science and Applications (IJACSA). Vol. 6, No. 2. February, 2015. pp. 218-226
[citation][year=2015]Vodyaho, Alexander, and Nataly Zhukova. "Implementation of Agile Concepts in Recommender Systems for Data Processing and Analyses." International Conference on Analysis of Images, Social Networks and Texts. Springer International Publishing, 2015.
[citation][year=2014]Tirad, Mohammed Aref Almalahmeh "Semantic recommender system for Malaysian tourism industry". Faculty of Computer Science And Information Technology, University Malaya, 2014. PhD. Thesis, 2014. p.231

[publication]Costa, Hernani and Furtado, B. and Pires, D. and Macedo, L. and Amilcar Cardoso , "Recommending POIs Based on the User's Context and Intentions", in 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, Salamanca, Spain, 2013
[citation][year=2019]Handoyo, E. R., Sulistyo, S., Santosa, P. I., & Hantono, B. S. (2019, July). A Conceptual Framework of Adaptive Mobile POI Recommendations. In 2019 International Conference on Information and Communications Technology (ICOIACT) (pp. 572-577). IEEE.
[citation][year=2019]Handoyo, E. R., Sulistyo, S., Santosa, P. I., & Hantono, B. S. (2019, July). A Conceptual Framework of Adaptive Mobile POI Recommendations. In 2019 International Conference on Information and Communications Technology (ICOIACT) (pp. 572-577). IEEE.
[citation][year=2018]Portugal, I., Alencar, P., & Cowan, D. (2018). The use of machine learning algorithms in recommender systems: A systematic review. Expert Systems with Applications, 97, 205-227.
[citation][year=2018]She, K. S., Haw, S. C., Loh, Y. G., & Chua, F. F. (2018). AK Tourism: A Property Graph Ontology-based Tourism Recommender System. In Knowledge Management International Conference (KMICe), July (pp. 25-27).
[citation][year=2015]Braunhofer, Matthias, Mehdi Elahi, and Francesco Ricci. "User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System." Information and Communication Technologies in Tourism 2015. Springer International Publishing, 2015. 537-549.
[citation][year=2015]Kysela, Ji?í. "Analysis of privacy erosion of geosocial networks." Computational Intelligence and Informatics (CINTI), 2015 16th IEEE International Symposium on. IEEE, 2015.

[publication]Macedo, L. and Costa, Hernani and Amilcar Cardoso , "A Selective Attention-based, Multi-Agent, Travel Information System", in 16th Portuguese Conference on Artificial Intelligence, 2013

2012(3 publications)
[publication]Gonçalo Oliveira, H,  and Costa, Hernani and Santos, D. , "Folheador: browsing through Portuguese semantic relations", in 13th Conference of the European Chapter of the Association for Computational Linguistics - Demos Session (EACL 2012), Avignon, France, 2012
[citation][year=2012]Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.

[publication]Gonçalo Oliveira, H,  and Costa, Hernani and Santos, D. , "Browsing Portuguese with Folheador", in 10th International Conference on Computational Processing of the Portuguese Language, Demo Session (PROPOR 2012), Coimbra, Portugal, 2012

[publication]Costa, Hernani and Furtado, B. and Pires, D. and Macedo, L. and Amilcar Cardoso , "Context and Intention-Awareness in POIs Recommender Systems", in 6th ACM Conference on Recommender Systems (RecSys 2012), 4th Workshop on Context-Aware Recommender Systems, (CARS 2012) Dublin, Ireland. ACM, 2012
[citation][year=2019]Fernandez-Rojas, R., Perry, A., Singh, H., Campbell, B., Elsayed, S., Hunjet, R., & Abbass, H. A. (2019). Contextual awareness in human-advanced-vehicle systems: A survey. IEEE Access, 7, 33304-33328.
[citation][year=2019]Enríquez, J. G., Morales-Trujillo, L., Calle-Alonso, F., Domínguez-Mayo, F. J., & Lucas-Rodríguez, J. M. (2019). Recommendation and Classification Systems: A Systematic Mapping Study. Scientific Programming, 2019.
[citation][year=2019]Rajaonarivo, L., Fonteles, A., Sallaberry, C., Bessagnet, M. N., Roose, P., Etcheverry, P., ... & Coudert, Q. (2019). Recommendation of heterogeneous cultural heritage objects for the promotion of tourism. ISPRS International Journal of Geo-Information, 8(5), 230.
[citation][year=2018]Portugal, I., Alencar, P., & Cowan, D. (2018). The use of machine learning algorithms in recommender systems: A systematic review. Expert Systems with Applications, 97, 205-227.
[citation][year=2018]Wijenayake, S., Ganiachchi, S., Wijekoon, J., & Ahangama, S. (2018). Predicting Tie Strength between Facebook Friends to Improve Accuracy in Travel Recommendation Systems. In PACIS (p. 246).
[citation][year=2017]Sassi, I. B., Mellouli, S., & Yahia, S. B. (2017). Context-aware recommender systems in mobile environment: On the road of future research. Information Systems, 72, 27-61.
[citation][year=2017]Karpus, A., Di Noia, T., & Goczy?a, K. (2017, September). Top k recommendations using contextual conditional preferences model. In 2017 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 19-28). IEEE.
[citation][year=2016]Karpus, A., Di Noia, T., Tomeo, P., & Goczyla, K. (2016, November). Rating Prediction with Contextual Conditional Preferences. In KDIR (pp. 419-424).
[citation][year=2016]Amoretti, Michele, Laura Belli, and Francesco Zanichelli. "UTravel: Smart mobility with a novel user profiling and recommendation approach." Pervasive and Mobile Computing (2016).
[citation][year=2015]Rodríguez-Hernández, María del Carmen and Ilarri, Sergio and Trillo-Lado, Raquel and Hermoso, Ramón (2015). "Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go". Proc. 9th ACM Conf. on Recommender Systems (RecSys'15), 11th Workshop on Location-Aware Recommendations (LocalRec'15). Vienna, Austria. September, 2015. pp.1-8.
[citation][year=2015]Sánchez-Vilas, Fernando, Jasur Ismoilov, and Eduardo Sánchez. "The importance of diversity in profile-based recommendations: A case-study in tourism." Proceedings of the Workshop on Tourism Recommender Systems. RecSys' 15,. Viena. 2015.
[citation][year=2014]Riboni, Daniele and Bettini, Claudio. "Differentially-Private Release of Check-in Data for Venue Recommendation". In 12th IEEE International Conference on Pervasive Computing and Communications (PerCom'14). pp. 190-198. IEEE Computer Society. March, 2014. Budapest, Hungary.
[citation][year=2014]Lu, Chun and Laublet, Philippe and Stankovic, Milan "Ricochet:Context and Complementarity-Aware, Ontology-based POIs Recommender System". 11th ESWC 1014 (ESWC'14). May, 2014. p.8.  Crete, Greece.
[citation][year=2013]Boim, Rubi and Milo, Tova (2013). Recommendation by Examples. In 7th Int. Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB'13). August, 2013, Riva del Garda, Trento, Italy
[citation][year=2013]Spangenberg, Thomas (2013). "Standardization, Modeling and Implementation of Points of Interest – a Touristic Perspective". Int. Journal of u- and e- Service, Science and Technology. Vol.6, No.6. December, 2013. pp.59-70.
[citation][year=2013]del Carmen, María, et al. "Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go."
[citation][year=2013]Riboni, Daniele and Bettini, Claudio. "A Platform for Privacy-Preserving Geo-social Recommendation of Points of Interest". 14th IEEE International Conference on Mobile Data Management (MDM'13). vol. 1, IEEE Computer Society. Milano, Italy. June, 2013. pp. 347-349.

2011(1 publication)
[publication]Costa, Hernani and Gonçalo Oliveira, H,  and Paulo Gomes , "Using the Web to Validate Lexico-Semantic Relations", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), Lisbon, Portugal, 2011
[citation][year=2017]Petit, J. (2017). Contribution à la modélisation d’une conscience culturelle artificielle émique par les ontologies. PhD thesis, Reims.
[citation][year=2016]Petit, J. and Risch, J.-C. (2016). Identification de Relations Sémantiques Supportée par des Algorithmes d’Apprentissage Supervisé Utilisant des Mesures de Proximité Sémantique. In 16éme Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances, EGC 2016, pages 73–84, Reims, France.

2010(2 publications)
[publication]Costa, Hernani and Gonçalo Oliveira, H,  and Paulo Gomes , "The impact of distributional metrics in the quality of relational triples", in 19th European Conference on Artificial Intelligence (ECAI 2010), Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2010), Lisbon, Portugal, 2010

[publication]Gonçalo Oliveira, H,  and Costa, Hernani and Paulo Gomes , "Extracção de conhecimento léxico-semântico a partir de resumos da Wikipédia.", in II Simpósio de Informática, Track on Gestão e Tratamento de Informação (INForum 2010), Braga, Portugal, 2010
[citation][year=2014]Alberto Simões and Xavier Gómez Guinovart (2014). Bootstrapping a Portuguese wordnet from Galician, Spanish and English wordnets. In Proceedings of 2nd International Conference on Speech and Language Technologies for Iberian Languages (IberSpeech 2014), volume 8854 of LNCS, pages 239–248, Las Palmas de Gran Canaria, Spain. Springer.
[citation][year=2014]Sandra Collovini and Lucas Pugens and Aline A. Vanin and Renata Vieira (2014). Extraction of relation descriptors for portuguese using conditional random fields. In Proceedings of 14th Ibero-American Conference on AI, IBERAMIA 2014, pages 108–119, Santiago de Chile, Chile. Springer.
[citation][year=2014]SANDRA COLLOVINI DE ABREU. Extração de Relações do Domínio de Organizações para o Português. Tese de Doutorado. Pontífícia Universidade Católica do Rio Grande do Sul. 2014.
[citation][year=2013]David S. Batista, David Forte, Rui Silva, Bruno Martins e Mario J. Silva. Extracção de relações semânticas de textos em português. Linguamática Volume 1, número 5. Julho 2013.
[citation][year=2012]Antonio Paulo Santos, Carlos Ramos, Nuno C. Marques. Extração de Relaçoes em Títulos de Notícias Desportivas. Actas do Inforum 2012, Simpósio de Informática, Lisboa, Portugal.

MSc Theses
2010(1 publication)
[publication]Costa, Hernani , "Automatic Extraction and Validation of Lexical Ontologies from text", 2010

Tech Report
2011(1 publication)
[publication]Costa, Hernani , "O desenho do novo Folheador", 2011

2010(1 publication)
[publication]Costa, Hernani and Gonçalo Oliveira, H,  and Paulo Gomes , "Quantifying Relational Triples", 2010