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Statistical language models for information retrieval [electronic resource] / ChengXiang Zhai
Statistical language models for information retrieval [electronic resource] / ChengXiang Zhai
Creatore [Zhai, ChengXiang]
Estensione 1 online resource (xiii, 125 p. : ill.) : digital file.
Disciplina 025.04
ISBN 9781598295917 (electronic bk.)
9781598295900 (pbk.)
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Basic concepts in information retrieval -- Statistical language models -- Overview of information retrieval models -- Similarity-based models -- Probabilistic relevance models -- Probabilistic inference models -- Axiomatic retrieval framework -- Decision-theoretic retrieval framework -- Summary -- Simple query likelihood retrieval model -- Basic idea -- Event models for [theta] d -- Multinomial [theta] d -- Multiple Bernoulli [theta] d -- Multiple Poisson [theta] d -- Comparison of the three models -- Estimation of [theta] d -- A general smoothing strategy using collection language model -- Jelinek-Mercer smoothing (fixed coefficient interpolation) -- Dirichlet prior smoothing -- Absolute discounting smoothing -- Interpolation vs. backoff -- Other smoothing methods -- Comparison of different smoothing methods -- Smoothing and TF-IDF weighting -- Two-stage smoothing -- Exploit document prior -- Summary -- Complex query likelihood retrieval model -- Document-specific smoothing of [theta]d -- Cluster-based smoothing -- Document expansion -- Beyond unigram models -- Parsimonious language models -- Full Bayesian query likelihood -- Translation model -- Summary -- Probabilistic distance retrieval model -- Difficulty in supporting feedback with query likelihood -- Kullback-Leibler divergence retrieval model -- Estimation of query models -- Model-based feedback -- Markov chain query model estimation -- Relevance model -- Structured query models -- Negative relevance feedback -- Summary -- Language models for special retrieval tasks -- Cross-lingual information retrieval -- Distributed information retrieval -- Structured document retrieval and combining representations -- Personalized and context-sensitive search -- Expert finding -- Passage retrieval -- Subtopic retrieval -- Other retrieval-related tasks -- Modeling redundancy and novelty -- Predicting query difficulty -- Summary -- Language models for latent topic analysis -- Probabilistic latent semantic analysis (PLSA) -- Latent dirichlet allocation (LDA) -- Extensions of PLSA and LDA -- Topic model labeling -- Using topic models for retrieval -- Summary -- Conclusions -- Language models vs.traditional retrieval models -- Summary of research progress -- Future directions.
Record Nr. YALE-11360324
[Zhai, ChengXiang]  
Risorse elettroniche
Lo trovi qui: Yale University
Mining text data [electronic resource] / editors, Charu C. Aggarwal, ChengXiang Zhai
Mining text data [electronic resource] / editors, Charu C. Aggarwal, ChengXiang Zhai
Estensione 1 online resource.
Disciplina 005.74
Accesso persona Aggarwal, Charu C.
Zhai, ChengXiang
ISBN 9781461432234 (e-ISBN)
9781461432227
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UALBERTA-7061189
Materiale a stampa
Lo trovi qui: University of Alberta / NEOS Library Consortium
Statistical language models for information retrieval [electronic resource] / ChengXiang Zhai
Statistical language models for information retrieval [electronic resource] / ChengXiang Zhai
Creatore [Zhai, ChengXiang]
Estensione 1 electronic text (xiii, 125 p.) : ill.
Disciplina 025.04
ISBN 9781598295917 (electronic bk.)
9781598295900 (pbk.)
1598295918 (electronic bk.)
159829590X (pbk.)
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Basic concepts in information retrieval -- Statistical language models -- Overview of information retrieval models -- Similarity-based models -- Probabilistic relevance models -- Probabilistic inference models -- Axiomatic retrieval framework -- Decision-theoretic retrieval framework -- Summary -- Simple query likelihood retrieval model -- Basic idea -- Event models for [theta] d -- Multinomial [theta] d -- Multiple Bernoulli [theta] d -- Multiple Poisson [theta] d -- Comparison of the three models -- Estimation of [theta] d -- A general smoothing strategy using collection language model -- Jelinek-Mercer smoothing (fixed coefficient interpolation) -- Dirichlet prior smoothing -- Absolute discounting smoothing -- Interpolation vs. backoff -- Other smoothing methods -- Comparison of different smoothing methods -- Smoothing and TF-IDF weighting -- Two-stage smoothing -- Exploit document prior -- Summary -- Complex query likelihood retrieval model -- Document-specific smoothing of [theta]d -- Cluster-based smoothing -- Document expansion -- Beyond unigram models -- Parsimonious language models -- Full Bayesian query likelihood -- Translation model -- Summary -- Probabilistic distance retrieval model -- Difficulty in supporting feedback with query likelihood -- Kullback-Leibler divergence retrieval model -- Estimation of query models -- Model-based feedback -- Markov chain query model estimation -- Relevance model -- Structured query models -- Negative relevance feedback -- Summary -- Language models for special retrieval tasks -- Cross-lingual information retrieval -- Distributed information retrieval -- Structured document retrieval and combining representations -- Personalized and context-sensitive search -- Expert finding -- Passage retrieval -- Subtopic retrieval -- Other retrieval-related tasks -- Modeling redundancy and novelty -- Predicting query difficulty -- Summary -- Language models for latent topic analysis -- Probabilistic latent semantic analysis (PLSA) -- Latent dirichlet allocation (LDA) -- Extensions of PLSA and LDA -- Topic model labeling -- Using topic models for retrieval -- Summary -- Conclusions -- Language models vs.traditional retrieval models -- Summary of research progress -- Future directions.
Record Nr. STANFORD-a8823130
[Zhai, ChengXiang]  
Risorse elettroniche
Lo trovi qui: Stanford University
Mining text data [electronic resource] / Charu C. Aggarwal, ChengXiang Zhai, editors
Mining text data [electronic resource] / Charu C. Aggarwal, ChengXiang Zhai, editors
Estensione 1 online resource (xi, 522 pages) : illustrations
Disciplina 006.3/12
Accesso persona Aggarwal, Charu C.
Zhai, ChengXiang
Genere/Forma Electronic books
Soggetto non controllato Computer science
Computer Communication Networks
Database management
Data mining
Multimedia systems
Data Mining and Knowledge Discovery
Multimedia Information Systems
ISBN 9781461432234
1461432235
9781461432227
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An Introduction to Text Mining -- Information Extraction from Text -- A Survey of Text Summarization Techniques -- A Survey of Text Clustering Algorithms -- Dimensionality Reduction and Topic Modeling -- A Survey of Text Classification Algorithms -- Transfer Learning for Text Mining -- Probabilistic Models for Text Mining -- Mining Text Streams -- Translingual Mining from Text Data -- Text Mining in Multimedia -- Text Analytics in Social Media -- A Survey of Opinion Mining and Sentiment Analysis -- Biomedical Text Mining: A Survey of Recent Progress -- Index.
Record Nr. NYU-004373905
Materiale a stampa
Lo trovi qui: New York University
Advances in Information Retrieval [electronic resource] : 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings / edited by Maarten Rijke, Tom Kenter, Arjen P. Vries, ChengXiang Zhai, Franciska Jong, Kira Radinsky, Katja Hofmann
Advances in Information Retrieval [electronic resource] : 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings / edited by Maarten Rijke, Tom Kenter, Arjen P. Vries, ChengXiang Zhai, Franciska Jong, Kira Radinsky, Katja Hofmann
Creatore [Rijke, Maarten]
Estensione XXX, 830 p. 169 illus : online resource.
Disciplina 025.04
Accesso persona Kenter, Tom.
Vries, Arjen P.
Zhai, ChengXiang
Jong, Franciska
Radinsky, Kira
Hofmann, Katja
Accesso ente SpringerLink (Online service)
ISBN 9783319060286
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Reducing Reliance on Relevance Judgments for System Comparison by Using Expectation-Maximization.- Best and Fairest: An Empirical Analysis of Retrieval System Bias -- Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems.- Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks.- Real-Time News Recommendation Using Context-Aware Ensembles.- A Personalised Recommendation System for Context-Aware Suggestions -- Optimizing Base Rankers Using Clicks: A Case Study Using BM25.- Predicting Search Task Difficulty.- Crawling Policies Based on Web Page Popularity Prediction.- Measuring the Effectiveness of Gamesourcing Expert Oil Painting Annotations.- Relevance-Ranked Domain-Specific Synonym Discovery -- Towards Generating Text Summaries for Entity Chains.- Tolerance of Effectiveness Measures to Relevance Judging Errors.- Evaluation of IR Applications with Constrained Real Estate.- Dissimilarity Based Query Selection for Efficient Preference Based IR Evaluation.- Blending Vertical and Web Results: A Case Study Using Video Intent.- Personalizing Aggregated Search.- HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks.- Leveraging Dynamic Query Subtopics for Time-Aware Search Result Diversification.- A Study of Query Term Deletion Using Large-Scale E-commerce Search Logs.- Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System.- Cross-Language Pseudo-Relevance Feedback Techniques for Informal Text -- Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining.- Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams -- Thumbnail Summarization Techniques for Web Archives -- CiteSeerx: A Scholarly Big Dataset -- User Reviews in the Search Index? That’ll Never Work.- A Scalable Gibbs Sampler for Probabilistic Entity Linking.- Effective Kernelized Online Learning in Language Processing Tasks -- On Inverted Index Compression for Search Engine Efficiency.- Exploring the Space of IR Functions.- Metric Spaces for Temporal Information Retrieval.- Local Linear Matrix Factorization for Document Modeling.- Video Clip Retrieval by Graph Matching.- EDIUM: Improving Entity Disambiguation via User Modeling.- A Comparison of Approaches for Measuring Cross-Lingual Similarity of Wikipedia Articles.- Challenges on Combining Open Web and Dataset Evaluation Results: The Case of the Contextual Suggestion Track.- Integrating Multiple Resources for Diversified Query Expansion.- Facet-Based User Modeling in Social Media for Personalized Ranking.- Spot the Ball: Detecting Sports Events on Twitter.- Exploiting Result Diversification Methods for Feature Selection in Learning to Rank.- Boilerplate Detection and Recoding.- A Two-level Approach for Subtitle Alignment -- Analyzing Discussions on Twitter: Case Study on HPV Vaccinations.- Automatically Retrieving Explanatory Analogies from Webpages.- Geo-spatial Domain Expertise in Microblogs -- The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search.- Towards a Classifier for Digital Sensitivity Review.- Unsupervised Approach for Identifying Users’ Political Orientations.- User Perception of Information Credibility of News on Twitter.- Sentiment Analysis and the Impact of Employee Satisfaction on Firm Earnings.- Entity Tracking in Real-Time Using Sub-topic Detection on Twitter -- Time-Aware Focused Web Crawling.- Temporal Expertise Profiling.- Assessing Quality of Unsupervised Topics in Song Lyrics.- An Information Retrieval-Based Approach to Determining Contextual Opinion Polarity of Words.- Query Term Suggestion in Academic Search.- The Impact of Future Term Statistics in Real-Time Tweet Search.- Exploring Adaptive Window Sizes for Entity Retrieval.- Score Normalization Using Logistic Regression with Expected Parameters.- More Informative Open Information Extraction via Simple Inference.- Learning a Theory of Marriage (and Other Relations) from a Web Corpus.- Learning from User Interactions for Recommending Content in Social Media -- Towards an Entity–Based Automatic Event Validation.- Query Expansion with Temporal Segmented Texts.- On Clustering and Polyrepresentation.- Effects of Position Bias on Click-Based Recommender Evaluation.- Bringing Information Retrieval into Crowdsourcing: A Case Study.- Quality-Based Automatic Classification for Presentation Slides.- Context of Seasonality in Web Search.- On the Effect of Locality in Compressing Social Networks.- Cross-Domain Collaborative Filtering with Factorization Machines.- Improvements to Suffix Tree Clustering -- Deep Learning for Character-Based Information Extraction.- Text-Image Topic Discovery for Web News Data.- Detecting Event Visits in Urban Areas via Smartphone GPS Data.- A Case for Hubness Removal in High–Dimensional Multimedia Retrieval -- Multi-evidence User Group Discovery in Professional Image Search.- Analyzing Tweets to Aid Situational Awareness.- Query-Dependent Contextualization of Streaming Data.- An Exploration of Tie-Breaking for Microblog Retrieval.- Efficiently Estimating Retrievability Bias.- A Language Modeling Approach to Personalized Search Based on Users’ Microblog Behavior.- Using Hand Gestures for Specifying Motion Queries in Sketch-Based Video Retrieval.- Page Retrievability Calculator.- ORMA: A Semi-automatic Tool for Online Reputation Monitoring in Twitter.- My First Search User Interface -- Needle Custom Search: Recall-Oriented Search on the Web Using Semantic Annotations -- Khresmoi Professional: Multilingual, Multimodal Professional Medical Search.- DAIKnow: A Gamified Enterprise Bookmarking System.- Search Maps: Enhancing Traceability and Overview in Collaborative Information Seeking.- Visual Interactive Environment for Making Sense of Experimental Data -- TripBuilder: A Tool for Recommending Sightseeing Tours.- GTE-Cluster: A Temporal Search Interface for Implicit Temporal Queries.- SQX-Lib: Developing a Semantic Query Expansion System in a Media Group.- EntEXPO: An Interactive Search System for Entity-Bearing Queries.- Column Stores as an IR Prototyping Tool.- CroSeR: Cross-language Semantic Retrieval of Open Government Data.- Bibliometric-Enhanced Information Retrieval.- 4th Workshop on Context-Awareness in Retrieval and Recommendation.- Workshop on Gamification for Information Retrieval (GamifIR’14).- Information Access in Smart Cities (i-ASC).- Designing Search Usability.- Text Quantification.- The Cluster Hypothesis in Information Retrieval.
Record Nr. YALE-11939850
[Rijke, Maarten]  
Risorse elettroniche
Lo trovi qui: Yale University
Mining Text Data [electronic resource] / edited by Charu C. Aggarwal, ChengXiang Zhai
Mining Text Data [electronic resource] / edited by Charu C. Aggarwal, ChengXiang Zhai
Creatore [Aggarwal, Charu C.]
Estensione 1 online resource.
Accesso persona Zhai, ChengXiang
Accesso ente SpringerLink (Online service)
ISBN 9781461432234
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. YALE-10486560
[Aggarwal, Charu C.]  
Risorse elettroniche
Lo trovi qui: Yale University
Statistical language models for information retrieval [electronic resource] / ChengXiang Zhai
Statistical language models for information retrieval [electronic resource] / ChengXiang Zhai
Creatore [Zhai, ChengXiang]
Estensione 1 electronic text (xiii, 125 p. : ill.) : digital file
ISBN 9781598295917 (electronic bk.)
1598295918 (electronic bk.)
9781598295900 (pbk.)
159829590X (pbk.)
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Basic concepts in information retrieval -- Statistical language models -- Overview of information retrieval models -- Similarity-based models -- Probabilistic relevance models -- Probabilistic inference models -- Axiomatic retrieval framework -- Decision-theoretic retrieval framework -- Summary -- Simple query likelihood retrieval model -- Basic idea -- Event models for [theta] d -- Multinomial [theta] d -- Multiple Bernoulli [theta] d -- Multiple Poisson [theta] d -- Comparison of the three models -- Estimation of [theta] d -- A general smoothing strategy using collection language model -- Jelinek-Mercer smoothing (fixed coefficient interpolation) -- Dirichlet prior smoothing -- Absolute discounting smoothing -- Interpolation vs. backoff -- Other smoothing methods -- Comparison of different smoothing methods -- Smoothing and TF-IDF weighting -- Two-stage smoothing -- Exploit document prior -- Summary -- Complex query likelihood retrieval model -- Document-specific smoothing of [theta]d -- Cluster-based smoothing -- Document expansion -- Beyond unigram models -- Parsimonious language models -- Full Bayesian query likelihood -- Translation model -- Summary -- Probabilistic distance retrieval model -- Difficulty in supporting feedback with query likelihood -- Kullback-Leibler divergence retrieval model -- Estimation of query models -- Model-based feedback -- Markov chain query model estimation -- Relevance model -- Structured query models -- Negative relevance feedback -- Summary -- Language models for special retrieval tasks -- Cross-lingual information retrieval -- Distributed information retrieval -- Structured document retrieval and combining representations -- Personalized and context-sensitive search -- Expert finding -- Passage retrieval -- Subtopic retrieval -- Other retrieval-related tasks -- Modeling redundancy and novelty -- Predicting query difficulty -- Summary -- Language models for latent topic analysis -- Probabilistic latent semantic analysis (PLSA) -- Latent dirichlet allocation (LDA) -- Extensions of PLSA and LDA -- Topic model labeling -- Using topic models for retrieval -- Summary -- Conclusions -- Language models vs.traditional retrieval models -- Summary of research progress -- Future directions.
Record Nr. UPENN-9945072793503681
[Zhai, ChengXiang]  
Risorse elettroniche
Lo trovi qui: University of Pennsylvania
Mining text data [electronic resource] / editors, Charu C. Aggarwal, ChengXiang Zhai
Mining text data [electronic resource] / editors, Charu C. Aggarwal, ChengXiang Zhai
Disciplina 005.74
Accesso persona Aggarwal, Charu C.
Zhai, ChengXiang
Accesso ente Books24x7, Inc.
Genere/Forma Electronic books
ISBN 9781461432234
9781461432227
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UMICH-012703655
Materiale a stampa
Lo trovi qui: University of Michigan Ann Arbor
Mining text data [electronic resource] / editors, Charu C. Aggarwal, ChengXiang Zhai
Mining text data [electronic resource] / editors, Charu C. Aggarwal, ChengXiang Zhai
Estensione 1 online resource.
Disciplina 005.74
Accesso persona Aggarwal, Charu C.
Zhai, ChengXiang
Accesso ente Books24x7, Inc.
Genere/Forma Electronic books
ISBN 9781461432234 (e-ISBN)
9781461432227
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. YALE-13745703
Materiale a stampa
Lo trovi qui: Yale University
Mining text data / Charu C. Aggarwal, ChengXiang Zhai, editors
Mining text data / Charu C. Aggarwal, ChengXiang Zhai, editors
Estensione 1 online resource (xi, 522 pages) : illustrations
Disciplina 006.3/12
Accesso persona Aggarwal, Charu C.
Zhai, ChengXiang
Soggetto non controllato Computer science
Computer Communication Networks
Database management
Data mining
Multimedia systems
Data Mining and Knowledge Discovery
Multimedia Information Systems
ISBN 9781461432234
1461432235
9781461432227
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An Introduction to Text Mining -- Information Extraction from Text -- A Survey of Text Summarization Techniques -- A Survey of Text Clustering Algorithms -- Dimensionality Reduction and Topic Modeling -- A Survey of Text Classification Algorithms -- Transfer Learning for Text Mining -- Probabilistic Models for Text Mining -- Mining Text Streams -- Translingual Mining from Text Data -- Text Mining in Multimedia -- Text Analytics in Social Media -- A Survey of Opinion Mining and Sentiment Analysis -- Biomedical Text Mining: A Survey of Recent Progress -- Index.
Record Nr. STANFORD-a9523958
Materiale a stampa
Lo trovi qui: Stanford University