Recomendação Associativa de Tags na Ausência de Informação Prévia

• Eder Martins UFMG
• Jussara Almeida UFMG
• Marcos Gonçalves UFMG

Resumo

Esta dissertação não possui resumo.

Referências

Belém, F., Martins, E., Almeida, J., and Gonçalves, M. (2013). Exploiting novelty and diversity in tag recommendation. Proc. ECIR.

Belém, F., Martins, E., Almeida, J., and Gonçalves, M. (2014). Personalized and object-centered tag recommendation methods for web 2.0 applications. IP&M, 50:524–553.

Belém, F., Martins, E., Almeida, J., Gonçalves, M., and Pappa, G. (2010). Exploiting cooccurrence and information quality metrics to recommend tags in web 2.0 applications. Proc. CIKM.

Belém, F., Martins, E., Pontes, T., Almeida, J., and Gonçalves, M. (2011). Associative tag recommendation exploiting multiple textual features. In Proc. ACM SIGIR.

Bobadilla, J., Ortega, F., Hernando, A., and Bernal, J. (2012). A collaborative filtering approach to mitigate the new user cold start problem. Knowledge Based Systems, 26:225–238.

Ferreira, C., dos Santos, J., Torres, R., Gonçalves, M. A., Rezende, R., and Fan, W. (2011). Relevance feedback based on genetic programming for image retrieval. Pattern Recognition Letters, 32(1):27–37.

Figueiredo, F., Pinto, H., Belém, F., Almeida, J. M., Gonçalves, M. A., Fernandes, D., and de Moura, E. S. (2013). Assessing the quality of textual features in social media. Information Processing & Management, 49(1):222–247.

Givon, S. and Lavrenko, V. (2009). Predicting social-tags for cold start book recommendations. In Proc. ACM RecSys.

Graham, R. and Caverlee, J. (2008). Exploring feedback models in interactive tagging. In Proc. Conference on Web Intelligence and Intelligent Agent Technology.

Guy, I., Zwerdling, N., Ronen, I., Carmel, D., and Uziel, E. (2010). Social Media Recommendation Based on People and Tags. In Proc. ACM SIGIR.

Heymann, P., Ramage, D., and Garcia-Molina, H. (2008). Social Tag Prediction. In Proc. SIGIR.

Li, X., Guo, L., and Zhao, Y. E. (2008). Tag-based Social Interest Discovery. In Proc. WWW. Lipczak, M., Hu, Y., Kollet, Y., and Milios, E. (2009). Tag Sources For Recommendation In Collaborative Tagging Systems. In Proc. ECML PKDD.

Martins, E., Belém, F., Almeida, J., and Gonçalves, M. (2013). Measuring and Addressing the Impact of Cold Start on Associative Tag Recommenders. In Proc. WebMedia.

Menezes, G., Almeida, J., Belém, F., Gonçalves, M., Lacerda, A., Moura, E., Pappa, G., Veloso, A., and Ziviani, N. (2010). Demand-Driven Tag Recommendation. In Proc. ECML PKDD.

Ness, S., Theocharis, A., Tzanetakis, G., and Martins, L. (2009). Improving Automatic Music Tag Annotation using Stacked Generalization of Probabilistic SVM Outputs. In ACM Multimedia. Poli, R. (2002). Foundations of genetic programming. Springer-Verlag New York, Inc.

Preisach, C., Marinho, L. B., and Schmidt-Thieme, L. (2010). Semi-Supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. In PAKDD (1), volume 6118, pages 348–357.

Said, A.,Wetzker, R., Umbrath,W., and Hennig, L. (2009). A Hybrid PLSA Approach forWarmer Cold Start in Folksonomy Recommendation. In Proc. ACM RecSys.

Schein, A. I., Popescul, A., Ungar, L. H., and Pennock, D. M. (2002). Methods and Metrics for Cold Start Recommendations. In Proc. ACM SIGIR.

Sigurbjörnsson, B. and van Zwol, R. (2008). Flickr Tag Recommendation Based on Collective Knowledge. In Proc. WWW.

Sun, D., Luo, Z., and Zhang, F. (2011). A Novel Approach for Collaborative Filtering to Alleviate the New Item Cold-Start Problem. In Proc. ISCIT.