Evaluation Strategies for Top-k Queries over Memory-Resident Inverted Indexes Marcus Fontoura1∗, Vanja Josifovski2 , Jinhui Liu2 , Srihari Venkatesan2 , Xiangfei Zhu2 , Jason Zien2 1. Google Inc., 1600 Amphitheatre Pkw

Source URL: fontoura.org

• Search algorithms
• Data management
• Theoretical computer science
• Inverted index
• Search engine indexing
• Algorithm
• Extensible Storage Engine
• Document retrieval
• Vector space model
• Query expansion
• Sorting algorithm
• Tfidf

Microsoft WordVisual-interface-special-issue-cai.doc

Source URL: spatial.ist.psu.edu

• Geographic data and information
• Cartography
• Information retrieval
• Natural language processing
• Geographic information system
• Geographic information retrieval
• Vector space model
• Ranking
• Spatial analysis
• Information science
• Search engine indexing
• Information visualization

Using Latent Semantic Analysis in Text Summarization and Summary Evaluation Josef Steinberger* Karel Ježek*

Source URL: www.kiv.zcu.cz

• Algebra
• Mathematics
• Information science
• Natural language processing
• Computational linguistics
• Linear algebra
• Automatic summarization
• Data mining
• Latent semantic analysis
• Singular value decomposition
• Cosine similarity
• Vector space model

Leveraging Advances in Natural Language Processing to Better Understand Tobler’s First Law of Geography Toby Jia-Jun Li Shilad Sen

Source URL: www.toby.li

• Computational linguistics
• Statistical distance
• Semantic similarity
• Data
• Natural language processing
• Information science
• Information retrieval
• Vector space model
• Explicit semantic analysis
• Algorithm
• Spatial analysis

Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

Source URL: manzil.ml

• Statistics
• Statistical natural language processing
• Machine learning
• Probability
• Latent Dirichlet allocation
• Topic model
• Latent semantic analysis
• Word2vec
• Semantic similarity
• Vector space model
• Word embedding
• Gibbs sampling

Revision Completed on 06 JanNonlinear Multivariate Time-Space Threshold Vector Error Correction Model for Short Term Traffic State Prediction Tao Ma1*, Zhou Zhou2, Baher Abdulhai3 University of Toronto

Source URL: www.utstat.toronto.edu

On the Use of Stemming for Concern Location and Bug Localization in Java Emily Hill Department of Computer Science Montclair State University Montclair, NJ, USA

Source URL: users.drew.edu

• Information science
• Information retrieval
• Natural language processing
• Computational linguistics
• Linguistic morphology
• Stemming
• Ranking
• Vector space model
• Latent semantic analysis
• Tfidf
• Relevance feedback

1 Digital Library Curriculum Development 2

Source URL: curric.dlib.vt.edu

• Information science
• Information retrieval
• Index
• Search engine software
• Search engine indexing
• Natural language processing
• Web crawler
• Search engine
• Vector space model
• Web search engine
• Index term
• Full text search

PACER: Proportional Detection of Data Races ∗ Michael D. Bond Katherine E. Coons Kathryn S. McKinley

Source URL: www.cs.utexas.edu

• Concurrency
• Software engineering
• Computing
• Computer programming
• Parallel computing
• Race condition
• Sampling
• Pacer
• Synchronization
• Memory model
• Vector space

LucidWorks: Advanced Searching with cURL (October 7, Module name: LucidWorks: Advanced Searching with cURL. 2. Scope: This module focuses on advanced search techniques using Apache Solr through cURL. 3. Learning

Source URL: curric.dlib.vt.edu

• Computing
• Software
• Information retrieval
• Search engine software
• Markup languages
• NoSQL
• Apache Solr
• Natural language processing
• Apache Software Foundation
• Lucidworks
• JSON
• Vector space model