A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification
暂无分享,去创建一个
Roi Blanco | Joemon M. Jose | Haitao Yu | Adam Jatowt | Hideo Joho | Fajie Yuan | Long Chen | Fajie Yuan | Hideo Joho | Roi Blanco | A. Jatowt | J. Jose | Haitao Yu | Long Chen
[1] Guido Zuccon,et al. Using the Quantum Probability Ranking Principle to Rank Interdependent Documents , 2010, ECIR.
[2] Jianxiong Xiao,et al. Joint Affinity Propagation for Multiple View Segmentation , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[3] Mirella Lapata,et al. Multiple Aspect Summarization Using Integer Linear Programming , 2012, EMNLP.
[4] Thorsten Joachims,et al. Predicting diverse subsets using structural SVMs , 2008, ICML '08.
[5] Xueqi Cheng,et al. Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures , 2015, SIGIR.
[6] W. Bruce Croft,et al. Evaluating Text Representations for Retrieval of the Best Group of Documents , 2008, ECIR.
[7] Eric P. Xing,et al. Concise Integer Linear Programming Formulations for Dependency Parsing , 2009, ACL.
[8] Craig MacDonald,et al. Exploiting query reformulations for web search result diversification , 2010, WWW '10.
[9] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[10] W. Bruce Croft,et al. Diversity by proportionality: an election-based approach to search result diversification , 2012, SIGIR '12.
[11] Scott Sanner,et al. Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model , 2011, CIKM '11.
[12] Oren Kurland,et al. Ranking document clusters using markov random fields , 2013, SIGIR.
[13] M. de Rijke,et al. Result diversification based on query-specific cluster ranking , 2011, J. Assoc. Inf. Sci. Technol..
[14] Dan Roth,et al. Integer linear programming inference for conditional random fields , 2005, ICML.
[15] Scott Sanner,et al. Probabilistic latent maximal marginal relevance , 2010, SIGIR '10.
[16] Filip Radlinski,et al. Learning diverse rankings with multi-armed bandits , 2008, ICML '08.
[17] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[18] Fuji Ren,et al. Search Result Diversification via Filling Up Multiple Knapsacks , 2014, CIKM.
[19] Jun Wang,et al. Top-k Retrieval Using Facility Location Analysis , 2012, ECIR.
[20] Jong-Hak Lee,et al. Analyses of multiple evidence combination , 1997, SIGIR '97.
[21] S. Ramaswamy,et al. Systematic identification of genomic markers of drug sensitivity in cancer cells , 2012, Nature.
[22] Jade Goldstein-Stewart,et al. The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.
[23] C. J. van Rijsbergen,et al. Information Retrieval , 1979, Encyclopedia of GIS.
[24] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[25] CHENGXIANG ZHAI,et al. A study of smoothing methods for language models applied to information retrieval , 2004, TOIS.
[26] Oren Kurland,et al. Clusters, language models, and ad hoc information retrieval , 2009, TOIS.
[27] Tie-Yan Liu,et al. LightLDA: Big Topic Models on Modest Computer Clusters , 2014, WWW.
[28] Sreenivas Gollapudi,et al. An axiomatic approach for result diversification , 2009, WWW '09.
[29] Yangtao Wang,et al. K-MEAP: Multiple Exemplars Affinity Propagation With Specified $K$ Clusters , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[30] Stephen E. Robertson,et al. Okapi at TREC-3 , 1994, TREC.
[31] Stephen E. Robertson,et al. GatfordCentre for Interactive Systems ResearchDepartment of Information , 1996 .
[32] Jade Goldstein-Stewart,et al. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries , 1998, SIGIR Forum.
[33] Brendan J. Frey,et al. A Binary Variable Model for Affinity Propagation , 2009, Neural Computation.
[34] Oren Kurland. The Cluster Hypothesis in Information Retrieval , 2014, ECIR.
[35] Jun Wang,et al. Portfolio theory of information retrieval , 2009, SIGIR.
[36] Oren Kurland,et al. Re-ranking search results using language models of query-specific clusters , 2009, Information Retrieval.
[37] Wenfei Fan,et al. On the Complexity of Query Result Diversification , 2013, Proc. VLDB Endow..
[38] W. Bruce Croft,et al. Cluster-based retrieval using language models , 2004, SIGIR '04.
[39] Charles L. A. Clarke,et al. Novelty and diversity in information retrieval evaluation , 2008, SIGIR '08.
[40] Craig MacDonald,et al. Search Result Diversification , 2015, Found. Trends Inf. Retr..
[41] Sreenivas Gollapudi,et al. Diversifying search results , 2009, WSDM '09.
[42] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[43] J. I. Brauman. Clusters , 1996, Science.