[1] Java A, Song X, Finin T, Tseng B. Why we twitter: Un-derstanding microblogging usage and communities. In Proc.WebKDD/SNA-KDD, Aug. 2007, pp.56-65.[2] Krishnamurthy B, Gill P, Arlitt M. A few chirps about twit-ter. In Proc. WOSP, Aug. 2008, pp.19-24.[3] Weng J, Lim E P, Jiang J, He Q. TwitterRank: Finding topic-sensitive influential twitterers. In Proc. WSDM, Feb. 2010,pp.261-270.[4] Yamaguchi Y, Takahashi T, Amagasa T, Kitagawa H. TU-Rank: Twitter user ranking based on user-tweet graph analy-sis. In Proc. the 11th Int. Conf. Web In formation SystemsEngineering, Dec. 2010, pp.240-253.[5] Chen J, Nairn R, Nelson L, Bernstein M, Chi E. Short andtweet: Experiments on recommending content from informa-tion streams. In Proc. CHI, April 2010, pp.1185-1194.[6] Phelan O, McCarthy K, Smyth B. Using twitter to recom-mend real-time topical news. In Proc. RecSys, 2009, pp.385-388.[7] Esparza S G, O'Mahony M P, Smyth B. On the real-time webas a source of recommendation knowledge. In Proc. RecSys,Sept. 2010, pp.305-308.[8] Hannon J, Bennett M, Smyth B. Recommending twitter usersto follow using content and collaborative filtering approaches.In Proc. RecSys, Sept. 2010, pp.199-206.[9] Guy I, Ronen I, Wilcox E. Do you know?: Recommendingpeople to invite into your social network. In Proc. IUI, Feb.2009, pp.77-86.[10] Liben-Nowell D, Kleinberg J. The link prediction problem forsocial networks. In Proc. CIKM, Nov. 2003, pp.556-559.[11] Chen J, Geyer W, Dugan C, Muller M, Guy I. Make newfriends, but keep the old: Recommending people on socialnetworking sites. In Proc. CHI, April 2010, pp.201-210.[12] Lo S, Lin C. WMR——A graph-based algorithm for friend rec-ommendation. In Proc. WI, Dec. 2006, pp.121-128.[13] Kwak H, Lee C, Park H, Moon S. What is Twitter, a so-cial network or a news media? In Proc. WWW, April 2010,pp.591-600.[14] Cha M, Haddadi H, Benevenuto F, Gummadi K P. Measur-ing user influence in Twitter: The million follower fallacy. InProc. ICWSM, May 2010.[15] Garcia R, Amatriain X. Weighted content based methods forrecommending connections in online social networks. In Proc.the 2nd Workshop on Recommender Systems and the SocialWeb, Oct. 2010, pp.68-71.[16] Abel F, Gao Q, Houben G J, Tao K. Analyzing user modelingon twitter for personalized news recommendations. In Proc.UMAP, July 2011, pp.1-12.[17] Sun A R, Cheng J, Zeng D D. A novel recommendation frame-work for micro-blogging based on information diffusion. InProc. Workshop on Information Technologies and Systems,Dec. 2009.[18] Phelan O, McCarthy K, Bennett M, Smyth B. Terms of afeather: Content-based news recommendation and discoveryusing twitter. In Proc. ECIR, April 2011, pp.448-459.[19] Brin S, Page L. The anatomy of a large-scale hypertextualWeb search engine. Computer Networks and ISDN Systems,1998, 30(1): 107-117.[20] Joachims T, Granka L, Pan B, Hembrooke H, Gay G. Accu-rately interpreting click through data as implicit feedback. InProc. SIGIR, Aug. 2005, pp.154-161.[21] Deshpande M, Karypis G. Item-based top-N recommenda-tion algorithms. ACM Transactions on Information Systems,2004, 22(1): 143-177. |