Predicting primary categories of business listings for local search ranking

作者: Changsung Khan , Jeehaeng Lee , Roi Blanco , Yi Chang

DOI: 10.1016/J.NEUCOM.2015.05.029

关键词:

摘要: We consider the problem of identifying primary categories of a business listing among the categories provided by the owner of the business, in order to enhance local search and …

参考文章(38)
M. Cissé, T. Artières, Patrick Gallinari, Learning compact class codes for fast inference in large multi class classification european conference on machine learning. ,vol. 7523, pp. 506- 520 ,(2012) , 10.1007/978-3-642-33460-3_38
Sang-Bum Kim, Hae-Chang Rim, DongSuk Yook, Heui-Seok Lim, Effective Methods for Improving Naive Bayes Text Classifiers pacific rim international conference on artificial intelligence. pp. 414- 423 ,(2002) , 10.1007/3-540-45683-X_45
Hinrich Schütze, Christopher D. Manning, Prabhakar Raghavan, Introduction to Information Retrieval ,(2005)
Robert E. Schapire, Yoav Freund, Raj D. Iyer, Yoram Singer, An Efficient Boosting Algorithm for Combining Preferences international conference on machine learning. pp. 170- 178 ,(1998)
Jerome H. Friedman, Greedy function approximation: A gradient boosting machine. Annals of Statistics. ,vol. 29, pp. 1189- 1232 ,(2001) , 10.1214/AOS/1013203451
Thorsten Joachims, A Statistical Learning Model of Text Classification for Support Vector Machines. international acm sigir conference on research and development in information retrieval. pp. 128- 136 ,(2001)
Eui-Hong Han, George Karypis, Centroid-Based Document Classification: Analysis and Experimental Results european conference on principles of data mining and knowledge discovery. pp. 424- 431 ,(2000) , 10.1007/3-540-45372-5_46
Vladimir Vapnik, Esther Levin, Yann Le Cun, Measuring the VC-dimension of a learning machine Neural Computation. ,vol. 6, pp. 851- 876 ,(1994) , 10.1162/NECO.1994.6.5.851