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information retrieval
Results: 10539

#	Item
221	Unsupervised, Efficient and Semantic Expertise Retrieval Christophe Van Gysel Maarten de Rijke Add to Reading List Source URL: staff.fnwi.uva.nl Language: English - Date: 2016-01-31 09:27:39 Information science Information retrieval Artificial intelligence Natural language processing Statistical natural language processing Machine learning Language modeling Computational linguistics Latent semantic analysis Probabilistic latent semantic analysis Vector space model Language model
222	How Search Engines Work by Mike Grehan Excerpted from the 2002 publication of Search Engine Marketing: The Essential Best Practice Guide. © Mike Grehan 2002 Add to Reading List Source URL: mentevisual.com.ec Language: English - Date: 2012-01-12 21:39:04 Internet search engines Information science World Wide Web Information retrieval Web search engine Search engine optimization Search engine technology Metasearch engine Search engine Web search query Bing Web crawler
223	Microsoft Word - 2013_Preparing_MOMS_Sale_Items_2.doc.docx Add to Reading List Source URL: mothersofmultiplessociety.wildapricot.org Language: English - Date: 2015-07-16 09:39:55 Information science Retailing Information retrieval Information Play Toy Tag Shoe Consignment
224	Ecological Gradient Model Use Instructions Overview This Ecological Gradient Model (EGM) serves as a tool for managers and scientists to identify the condition of a reef by comparing factors at a site of interest to nea Add to Reading List Source URL: cramp.wcc.hawaii.edu Language: English - Date: 2008-06-26 16:40:39 SQL Data management Database management systems Database theory Information science Information retrieval Database Search engine indexing View Query optimization
225	1 Continuous Skyline Queries for Moving Objects Zhiyong Huang, Hua Lu, Beng Chin Ooi, and Anthony K. H. Tung Abstract— The literature on skyline algorithms has so far dealt Add to Reading List Source URL: people.cs.aau.dk Language: English - Date: 2006-10-11 09:32:07 Computing Information science Data management Information retrieval Search algorithms SQL Skyline operator Skyline Nearest neighbor search Data stream management system PT2 Kinetic data structure
226	Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond by Jaime B. Teevan Submitted to the Department of Electrical Engineering and Computer Add to Reading List Source URL: www.websci11.org Language: English - Date: 2016-03-15 09:55:59 Information science Statistical natural language processing Natural language processing Statistics Machine learning Information retrieval Bayesian network Probability distribution Tfidf Latent semantic analysis Probabilistic latent semantic analysis
227	Personalized Collaborative Clustering Yisong Yue Chong Wang Disney Research Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Information science Information retrieval Cluster analysis Information Recommender systems Collaborative filtering Collaborative software Collective intelligence Social information processing Consensus clustering Document clustering Machine learning
228	Demonstrating HIVE and HIVE-ES: Supporting Term Browsing and Automatic Text Indexing with Linked Open Vocabularies Rodríguez Mateos, David; Bueno de la Fuente, Gema; Greenberg, Jane; Melgar, Liliana; Gómez, Nancy; Will Add to Reading List Source URL: at-web1.comp.glam.ac.uk Language: English - Date: 2012-09-07 10:44:27 Information science Information retrieval Knowledge representation Thesauri Semantic Web School of Computer Science University of Manchester Simple Knowledge Organization System Technical communication High-performance Integrated Virtual Environment Hive Index term Thesaurus
229	Microsoft Word - sigir14_sp_terms_final.docx Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2016-01-14 06:40:31 Information science Information retrieval Information retrieval evaluation Internet search Natural language processing Query expansion Web search query Precision and recall Discounted cumulative gain Ranking Query likelihood model Web query classification
230	Why Simple Hash Functions Work: Exploiting the Entropy in a Data Stream∗ Michael Mitzenmacher† Salil Vadhan‡ School of Engineering & Applied Sciences Harvard University Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2007-11-16 13:42:30 Information retrieval Information science Hashing Search algorithms Universal hashing Hash table Linear probing Hash function Bloom filter Cuckoo hashing Randomness extractor Cryptographic hash function

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