PPT-Graph Query Reformulation with Diversity
Author : alida-meadow | Published Date : 2016-06-30
Davide Mottin University of Trento Francesco Bonchi Yahoo Labs Francesco Gullo Yahoo Labs Issues with Pattern S earch O OH O S Query 510 matches T oo many
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Graph Query Reformulation with Diversity: Transcript
Davide Mottin University of Trento Francesco Bonchi Yahoo Labs Francesco Gullo Yahoo Labs Issues with Pattern S earch O OH O S Query 510 matches T oo many matches. Jeff Huang University of Washington Information School cikm09@jeffhuang.com Efthimis N. Efthimiadis University of Washington efthimis@u.washington.edu Users frequently modify a previous search qu and Answer . Inference . for . Telegraphic Entity-seeking . Queries. EMNLP 2014. Mandar Joshi. Uma Sawant. Soumen Chakrabarti. IBM Research. IIT Bombay, Yahoo Labs. IIT Bombay. mandarj90@in.ibm.com. uma@cse.iitb.ac.in. for the Novice User. Davide Mottin, PhD Defense. April 28th, 2015. Advisors. Yannis. . Velegrakis. , University of Trento. Themis . Palpanas. , . Paris Descartes University. Department of. Information Engineering and Computer Science. a TASTIER Approach. Guoliang. Li. 1. , . Shengyue. Ji. 2. , Chen Li. 2. , . Jianhua. Feng. 1. 1 . Tsinghua. University, Beijing, China. 2 . University of California, Irvine, CA, USA. Traditional Keyword Search. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Subgraph. Matching on Large Graphs in Cloud. Zhao Chang*, Lei . Zou. †, . Feifei. Li*. *University of Utah, USA . †. Peking University, China. Outline. Background. K-. Automorphism. Subgraph. Subgraph matching. Bo Zong . (UCSB). Ramya Raghavendra (IBM T.J. Watson). Mudhakar Srivatsa (IBM T.J. Watson). Xifeng Yan (UCSB). Ambuj K. Singh (UCSB). Kang-Won Lee (IBM T.J. Watson). 1. Cloud datacenters. Naama. Kraus. Slides are based on the papers:. Baeza. -Yates, . Hurtado. , Mendoza, . Improving search engines by query clustering. Boldi. , . Bonchi. , Castillo, . Donato. , . Vigna. , . The Query Flow Graph: Model and Applications. On Efficient Graph Substructure Selection. Xiang . Zhao. †. H. Shang. §. W. Zhang. †. X. Lin. †. W. Xiao. ‡ . †. . The University of New South Wales, Australia. §. The University of Tokyo, Japan. (in-depth analysis of research literature). 1. Scalable SPARQL Querying of Large RDF Graphs . (aug-sep 2011). 2. Towards Effective Partition Management for Large Graphs . (may 2012). Vineet Choudhury. Diversity driven Attention Model for Query-based Abstractive Summarization Preksha Nema *, Mitesh Khapra *, Anirban Laha* # , Balaraman Ravindran * * Indian Institute of Technology Madras, India Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Jeffrey . Xu. Yu (. 于旭. ). Department of Systems Engineering and Engineering Management. The Chinese University of Hong Kong. yu@se.cuhk.edu.hk. Books on Social Networks. Social and Economic Networks. Alison Tedstone. Deputy Director Diet and Obesity / Chief Nutritionist . Public Health England. March 2018. . 2. Prevalence . of excess weight . and tooth decay among . children. The . difference in obesity prevalence between boys and girls was larger in year 6 than reception.
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