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IPTV parental control: A collaborative model for the Social Web

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Abstract

Whether traditional TV or Internet multimedia content, parental control systems based on the intermediate filtering criteria of broadcasters or content producers may be not flexible enough. From parent’s perspective, the ideal scenario would be one in which they could dynamically decide about the suitability of any content. Since this desired scenario entails many practical problems, we propose an intermediate solution where parents delegate the decision of blocking any piece of TV content on a trustworthy set of parents. Our approach provides a collaborative parental control model based on two pillar: (1) a parenting social network where parents interact, freely give their opinion about TV content and tag this content (collaborative tagging); and (2) a model of trust relationship between parents. Regarding the deployment of parental control, we introduce a parental monitoring system for DVB-IPTV content, which is based on social technologies. The proposal combines information from the service provider and from parents in a social network to predict whether content should be blocked.

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Similar content being viewed by others

Notes

  1. http://www.tvguidelines.org

  2. With the aim of being cautious, we select a low threshold and block content as a precautionary measure. Parents always have the possibility to unblock the content, which also give us information for future predictions.

  3. IMDB (Internet Movie Database), the online database of films and television programs at http://www.imdb.com.

  4. Netflix, the USA provider of on-demand Internet Streming Media (see http://www.netflix.com).

References

  • Andersen, R., Borgs, C., Chayes, J., Feige, U., et al. (2008). Trust-based recommendation systems: an axiomatic approach. 17th Int. Conf. on World Wide Web (WWW).

  • Castells, P., Fernández, M., & Vallet, D. (2007). An adaptation of the vector-space model for ontology-based information retrieval. IEEE Transactions on Knowledge and Data Engineering, 19(2), 261–272.

    Article  Google Scholar 

  • Chang, J.-H., Lai, C.-F., Huang, Y.-M., & Chao, H.-C. (2010). 3PRS: a personalized popular program recommendation system for digital TV for P2P social networks. Multimedia Tools and Applications, 47(1), 31–48.

    Article  Google Scholar 

  • Chen, Z. M., & Jiang, Y. (2010). A collaborative filtering recommendation algorithm based on user interest change and trust evaluation. International Journal of Digital Content Technology and its Applications, 4(9), 106–113.

    Article  Google Scholar 

  • Díaz Redondo, R. P., Fernández Vilas, A., Pazos Arias, J. J., Ramos Cabrer, M., Gil Solla, A., & García Duque, J. (2012). Bringing content-awareness to Web-based IDTV advertising. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(3), 324–333.

    Article  Google Scholar 

  • Diaz-Sanchez, D., Marin, A., Almenarez, F., & Cortes, A. (2010). Social applications in the home network. IEEE Transactions on Consumer Electronics, 56(1), 220–225.

    Article  Google Scholar 

  • Digital Video Broadcasting (2010). Multimedia Home Platform (MHP) Specification 1.2.2. ETSI TS 102 727 v1.1.1.

  • European Telecommunication Standards Institute (2008). Carriage of Bradband Content Guide (BCG) Information over Internet Protocol (IP) Technical Specification ETSI TS 102 539 V1.2.1.

  • European Travel Commission (2013). Social networking and UGC. etc.-digital.org.

  • Evain, J. P., & Martínez, J. M. (2007). TV-anytime phase 1 and MPEG-7. Journal of the American Society of Information Science and Technology, 58(9), 1367–1373.

    Article  Google Scholar 

  • Gabrilovich, E., & Markovitch, S. (2007). Computing semantic relatedness using wikipedia-based explicit semantic analysis. Proceedings of the 20th international joint conference on Artifical intelligence.

  • Gentile, D. A., Choo, H., Liau, A., Sim, T., Li, D., Fung, D., & Khoo, A. (2011). Pathological video game use among youths: a two-year longitudinal study. Pediatrics, 127, e319–329.

  • Gruber, T. (2007). Ontology of folksonomy: a mash-up of apples and oranges. International Journal On Semantic Web and Information Systems, 3(2), 1–11.

    Article  Google Scholar 

  • Guha, R., Kumar, R., Raghavan, P., & Tomkins, A. (2004). Propagation of Trust and Distrust. 13th Int. Conf. on World Wide Web (WWW).

  • Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Q, 28(1), 75–105.

  • Hotto, A., Jaschke, R., Schmitz, C., & Stummer, G. (2006). Information retrieval in folksonomies: Search and ranking. In The Semantic Web: Research and applications (Vol. 4519, págs. 624–639). Springer.

  • Huberman, S. A., & Golder, B. A. (2006). The structure of collaborative tagging systems. Journal of Information Science, 32(2), 198–208.

    Article  Google Scholar 

  • Jamali, M., & Ester, M. (2009). TrustWalker: a random walk model for combining trust-based and item-based recommendation. Int. Conf. on Knowledge Discovery and Data Mining (KDD), (págs. 397–406).

  • Keller, D., & Verhulst, S. (2000). Parental control in a converged communications environment. Self-regulation, technical devices and meta-information. Final report for the DVB regulatory group, October 2000.

  • Kim, J., Jeong, D., & Baik, D. (2009). Ontology-based semantic recommendation system in home nework environment. IEEE Transactions on Consumer Electronics, 55(3), 1178–1184.

    Article  Google Scholar 

  • Krcmar, M., & Cantor, J. (1997). The role of television advisories and ratings in parent‐child discussion of television viewing choices. Journal of Broadcasting & Electronic Media, 41(3), 393–411.

  • Lapierre, M. A., Taylor Piotrowski, J., & Linebarger, D. L. (2012). Background television in the homes of US children. Pediatrics, 130, 1–8.

    Article  Google Scholar 

  • Lathia, N., Hailes, S., & Capra, L. (2008). Trust-based collaborative filtering. International Federation for Information Processing (IFIP).

  • Li, Y. M., & Kao, C. P. (2009). TREPPS: a trust-based recommender system for peer production services. Expert Systems with Applications, 36(2), 3263–3277.

    Article  Google Scholar 

  • Maisonneuve, J., Deschanel, M., Heiles, J., Li, W., Liu, H., Sharpe, R., et al. (2009). An overview of IPTV standards development. IEEE Transactions on Broadcasting, 55(2), 315–328.

    Article  Google Scholar 

  • Martín-Vicente, M., Gil-Solla, A., Ramos-Cabrer, M., Blanco-Fernández, Y., & López-Nores, M. (2012). Semantic inference of user’s reputation and expertise to improve collaborative recommendations. Expert Systems With Applications, 39(9), 8248–8258.

    Article  Google Scholar 

  • Middleton, S. E., Shadbolt, N. R., & De Roure, D. C. (2004). Ontological user profiling in recommender systems. ACM Transactions on Information Systems, 22(1), 54–88.

    Article  Google Scholar 

  • Mitchell, K., Jones, A., Ishmael, J., & Race, N. J. (2011). Social TV: The impact of social awareness on content navigation within IPTV systems. Comput Entertain 9 (3).

  • Moosavi, S., Nematbakhsh, M., & Khosravi Farsani, H. (2009). A semantic complement to enhance electronic market. Expert Systems with Applications, 36(2), 5768–5774.

    Article  Google Scholar 

  • Narasimhan, N., & Horozov, T. (2009). V clips: Using social bookmarking for content discovery in a fragmented TV ecosystem. In Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia (MUM ‘09). New York: ACM.

    Google Scholar 

  • O’Keeffe, G. S., Clarke-Pearson, K., & Council on Communications and Media. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127(4), 800–804.

  • Peffers, K., Tuunanen, T., Rothenberger, M, A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77.

  • PewResearchCenter (2013). 72% of Online Adults are Social Networking Sites Users. www.pewresearch.org: PewResearchCenter.

  • Servia Rodríguez, S., & Fernandez, A. (2012). Inferring Ties for social-aware ambient intelligence: the Facebook case. 3rd Int. Symp. on Ambient Intelligence (ISAmI).

  • Servia Rodríguez, S., Díaz Redondo, R. P., Fernández Vilas, A., Blanco Fernández, Y., & Pazos Arias, J. J. (2013a). A Tie Strength Based Model to Socially-Enhance Applications and its Enabling Implementation: mySocialSphere. Expert Systems With Applications.

  • Servia Rodríguez, S., Fernández Vilas, A., Díaz Redondo, R. P., & Pazos Arias, J. J. (2013b). Inferring Contexts from Facebook Interactions: a Social Publicity Scenario. IEEE Transactions on Multimedia, 15(6), 1296–1303.

  • Sotelo, R., Blanco-Fernández, Y., López Nores, M., Gil-Solla, A., & Pazos Arias, J. J. (2009). TV program recommendation for groups based on multidimensional TV-anytime classifications. IEEE Transactions on Consumer Electronics, 55(1), 248–256.

    Article  Google Scholar 

  • Specia, L., & Motta, E. (2006). Integrating folksonomies with the semantic web. In The semantic web: Research and applications (Vol. 4519, págs. 624–639). Springer.

  • Stockhammer, T., & Heiles, J. (2011). DVB-IPTV conetnt download servies—overview and use cases. Multimedia Tools and Applications, 53(3), 533–555.

    Article  Google Scholar 

  • Strube, M., & Ponzetto, S. P. (2006). WikiRelate! computing semantic relatedness using wikipedia. Proceedings of the 21st national conference on Artificial intelligence.

  • Sztompka, P. (2000). A sociological theory (Cambridge Cultural Social Studies). Cambridge University Press.

  • Walter, F., Battiston, S., & Scheweitzer, F. (2008). A model of a trust-based recommendation system on a social network. Autonomous Agents and Multi-Agent Systems, 16(1), 57–74.

    Article  Google Scholar 

  • Wang, X., Sun, L., Wang, Z., & Meng, D. (2012). Group Recommendation Using External Followee for Social TV. IEEE International Conference on Multimedia and Expo (ICME).

  • Witten, I., & Miln, D. (2008). An effective, low-cost measure of semantic relatedness obtained from wikipedia links. Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy.

  • Yeh, E., Ramage, D., Manning, C., Agirre, E., & Soroa, A. (2009). WikiWalk: Random walks on Wikipedia for semantic relatednes. Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, Association for Computational Linguistics.

  • Zhang, F., Bai, L., & Gao, F. (2009). A user trust-based collaborative flitering recommendation algorithm. Information and Communication Security, 5927, 411–424.

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the Ministerio de Educación y Ciencia (Gobierno de España) research project TIN2010-20797 (partly financed with ERDF funds); by the European Regional Development Fund (ERDF) and the Galician Regional Government under agreement for funding the Atlantic Research Center for Information and Communication Technologies (AtlantTIC); by the Spanish Government and the European Regional Development Fund (ERDF) under project TACTICA.

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Correspondence to Ana Fernández-Vilas.

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Fernández-Vilas, A., Díaz-Redondo, R.P. & Servia-Rodríguez, S. IPTV parental control: A collaborative model for the Social Web. Inf Syst Front 17, 1161–1176 (2015). https://doi.org/10.1007/s10796-014-9494-5

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