Improving Tag-Based Recommendation by Topic Diversification 53 Acknowledgments This research has received funding from the European Community's Seventh Framework Program within the My Media project(grant agreement N 215006) and the PetaMedia network of excellence (grant agreement N2 216444). We would like to thank Zeno Gantner(University of Hildesheim) for his help with BPR-MF and Rogier Brussee(Hogeschool Utrecht)for many helpful comments References 1. Tso-Sutter, K H L, Balby Marinho, L, Schmid L. Tag-aware recom- mender systems by fusion of collaborative filt rithms. In: Wainwright R L, Haddad, H(eds )SAC, pp. 1995-1999. A York(2008) 2. Liang, H, Xu, Y, Li, Y, Nayak, R. Tag based collaborative filtering for recom- mender systems. In: Wen, P. Li, Y, Polkowski, L, Yao, Y, Tsumoto, S, Wang G(eds )RSKT 2009 LNCS, vol. 5589, pp. 666-673. Springer, Heidelberg(2009) 3. Said, A, Wetzker, R, Umbrath, W, Hennig, L: A hybrid plsa approach for warmer ld start in folksonomy recommendation. In: Proceedings of the recSys 2009 Workshop on Recommender Systems The Social Web(2009) 4. Bogers, T, van den Bosch, A: Collaborative and Content-based Filtering for Item Recommendation on Social Bookmarking Websites. In: Proceedings of the ACM ecSys 2009 Workshop on Recommender Systems the Social Web, New-York, NY,USA,pp.9-16(2009) 5. Firan, C.S., Nejdl, W., Paiu, R. The benefit of using tag-based profiles. In: Almeida, V.A.F., Baeza-Yates, RA(eds )LA-WEB, Pp 32-41. IEEE Computer Society, Los Alamitos(2007) Peng, J, Zeng, D: Exploring information hidden in tags: A subject-based item recommendation approach. In: Proceedings of Nineteenth Annual Workshop on In- formation Technologies and Systems(WITS 2009), Phoenix, Arizona, USA(2009) 7. Hung, C, Huang, Y, Hsu, J, Wu, D. Tag-Based User Profiling for Social Media Recommendation. In: Workshop on Intelligent Techniques for Web Personalization Recommender Systems at AAAI 2008, Chicago, Illinois(2008) 8. Liang, H, Xu, Y, Li, Y, Nayak, R, Weng, L.T. Personalized recommender sys- tems integrating social tags and item taxonomy. In: [20], pp. 540-547 9. Ali, K, van Stam, W: Tivo: making show recommendations using a distributed col- laborative filtering architecture. In: Kim, w, Kohavi, R Gehrke, J, DuMouchel W.(eds )KDD, pp. 394-401. ACM, New York(2004) 10. Ziegler, C N, McNee, S.M., Konstan, J.A., Lausen, G. Improving recommendation lists through topic diversification. In: Ellis, A, Hagino, T.(eds )www, pp. 22-32 CM, New York(2005) 11. Zhang, M, Hurley, N. Novel item recommendation by user profile partitioning In:[20,pp.508515 12. Gemmell, J, Shepitsen, A, Mobasher, B, Burke, R.D.: Personalizing navigation in folksonomies using hierarchical tag clustering. In: Song, I.Y., Eder, J, Nguyen T M.(eds ) DaWaK 2008. LNCS, vol. 5182, pp. 196-205. Springer, Heidelberg 13. Pazzani, M.J., Billsus, D. Content-based recommendation systems. In: Brusilovsky, P, Kobsa, A, Nejdl, W.(eds ) Adaptive Web 2007. LNCS, vol. 4321 pp. 325-341. Springer, Heidelberg(2007)Improving Tag-Based Recommendation by Topic Diversification 53 Acknowledgments This research has received funding from the European Community’s Seventh Framework Program within the MyMedia project (grant agreement No 215006) and the PetaMedia network of excellence (grant agreement No 216444). We would like to thank Zeno Gantner (University of Hildesheim) for his help with BPR-MF and Rogier Brussee (Hogeschool Utrecht) for many helpful comments. References 1. Tso-Sutter, K.H.L., Balby Marinho, L., Schmidt-Thieme, L.: Tag-aware recom￾mender systems by fusion of collaborative filtering algorithms. In: Wainwright, R.L., Haddad, H. (eds.) SAC, pp. 1995–1999. ACM, New York (2008) 2. Liang, H., Xu, Y., Li, Y., Nayak, R.: Tag based collaborative filtering for recom￾mender systems. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds.) RSKT 2009. LNCS, vol. 5589, pp. 666–673. Springer, Heidelberg (2009) 3. Said, A., Wetzker, R., Umbrath, W., Hennig, L.: A hybrid plsa approach for warmer cold start in folksonomy recommendation. In: Proceedings of the RecSys 2009 Workshop on Recommender Systems & The Social Web (2009) 4. Bogers, T., van den Bosch, A.: Collaborative and Content-based Filtering for Item Recommendation on Social Bookmarking Websites. In: Proceedings of the ACM RecSys 2009 Workshop on Recommender Systems & the Social Web, New-York, NY, USA, pp. 9–16 (2009) 5. Firan, C.S., Nejdl, W., Paiu, R.: The benefit of using tag-based profiles. In: Almeida, V.A.F., Baeza-Yates, R.A. (eds.) LA-WEB, pp. 32–41. IEEE Computer Society, Los Alamitos (2007) 6. Peng, J., Zeng, D.: Exploring information hidden in tags: A subject-based item recommendation approach. In: Proceedings of Nineteenth Annual Workshop on In￾formation Technologies and Systems (WITS 2009), Phoenix, Arizona, USA (2009) 7. Hung, C., Huang, Y., Hsu, J., Wu, D.: Tag-Based User Profiling for Social Media Recommendation. In: Workshop on Intelligent Techniques for Web Personalization & Recommender Systems at AAAI 2008, Chicago, Illinois (2008) 8. Liang, H., Xu, Y., Li, Y., Nayak, R., Weng, L.T.: Personalized recommender sys￾tems integrating social tags and item taxonomy. In: [20], pp. 540–547 9. Ali, K., van Stam, W.: Tivo: making show recommendations using a distributed col￾laborative filtering architecture. In: Kim, W., Kohavi, R., Gehrke, J., DuMouchel, W. (eds.) KDD, pp. 394–401. ACM, New York (2004) 10. Ziegler, C.N., McNee, S.M., Konstan, J.A., Lausen, G.: Improving recommendation lists through topic diversification. In: Ellis, A., Hagino, T. (eds.) WWW, pp. 22–32. ACM, New York (2005) 11. Zhang, M., Hurley, N.: Novel item recommendation by user profile partitioning. In: [20], pp. 508–515 12. Gemmell, J., Shepitsen, A., Mobasher, B., Burke, R.D.: Personalizing navigation in folksonomies using hierarchical tag clustering. In: Song, I.Y., Eder, J., Nguyen, T.M. (eds.) DaWaK 2008. LNCS, vol. 5182, pp. 196–205. Springer, Heidelberg (2008) 13. Pazzani, M.J., Billsus, D.: Content-based recommendation systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 325–341. Springer, Heidelberg (2007)