Backstrom, L., Leskovec, J.: Supervised random walks: predicting and recommending links in social networks. In: ACM International Conference on Web Search and Data Mining, pp. 635–644 (2011)
Google Scholar
Baeza-yates, R.A., Ribeiro-neto, B.A.: Modern Information Retrieval (1999)
Google Scholar
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Journal of Machine Learning Research 3, 993–1022 (2003)
MATH
Google Scholar
Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. Journal of the ACM 46, 604–632 (1999)
MathSciNet
MATH
CrossRef
Google Scholar
Leskovec, J., Huttenlocher, D.P., Kleinberg, J.M.: Predicting positive and negative links in online social networks. Computing Research Repository abs/1003.2:641–650 (2010)
Google Scholar
Li, Y., Hu, J., Zhai, C., Chen, Y.: Improving one-class collaborative filtering by incorporating rich user information. In: International Conference on Information and Knowledge Management, pp. 959–968 (2010)
Google Scholar
Liben-Nowell, D., Kleinberg, J.M.: The link prediction problem for social networks. In: International Conference on Information and Knowledge Management, pp. 556–559 (2003)
Google Scholar
Lichtenwalter, R.N., Lussier, J.T., Chawla, N.V.: New perspectives and methods in link prediction. In: Knowledge Discovery and Data Mining (2010)
Google Scholar
Manning, C.D., Raghavan, P., Schtze, H.: Introduction to information retrieval (2008)
Google Scholar
Newman, M.E.J.: Clustering and preferential attachment in growing networks. Physical Review E 64 (2001)
Google Scholar
Singh, A.P., Gordon, G.J.: Relational learning via collective matrix factorization. In: Knowledge Discovery and Data Mining, pp. 650–658 (2008)
Google Scholar
Srebro, N., Jaakkola, T.: Weighted Low-Rank Approximations. In: International Conference on Machine Learning, pp. 720–727 (2003)
Google Scholar
Wang, C., Satuluri, V., Parthasarathy, S.: Local probabilistic models for link prediction. In: International Conference on Data Mining, pp. 322–331 (2007)
Google Scholar
Xu, Z., Kersting, K., Tresp, V.: Multi-Relational Learning with Gaussian Processes. In: International Joint Conference on Artificial Intelligence, pp. 1309–1314 (2009)
Google Scholar
Zheng, V.W., Cao, B., Zheng, Y., Xie, X., Yang, Q.: Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach. In: National Conference on Artificial Intelligence (2010)
Google Scholar
Yoon, H., Zheng, Y., Xie, X., Woo, W.: Smart Itinerary Recommendation Based on User-Generated GPS Trajectories (2010)
Google Scholar
Zheng, Y., Xie, X.: Learning Travel Recommendations from User-Generated GPS Traces 2, 1–29 (2011)
Google Scholar
Zheng, V.W., Zheng, Y., Xie, X., Yang, Q.: Collaborative location and activity recommendations with GPS history data. In: World Wide Web (2010)
Google Scholar
Park, M.-H., Hong, J.-H., Cho, S.-B.: Location-Based Recommendation System Using Bayesian User’s Preference Model in Mobile Devices. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds.) UIC 2007. LNCS, vol. 4611, pp. 1130–1139. Springer, Heidelberg (2007)
CrossRef
Google Scholar