Latha, K., <br/><br/>
Experiment and evaluation in information retrieval models / 
K. Latha. 
 - 1 online resource 
<br/><br/>part Section I Foundations -- chapter 1 Introduction -- part Section II Preliminaries -- chapter 2 Preliminaries -- chapter 3 Contextual and Conceptual Information Retrieval -- chapter 4 Information Retrieval Models -- chapter 5 Evaluation of Information Retrieval Systems -- chapter 6 Fundamentals of Evolutionary Algorithms -- part Section III Demand of Evolutionary Algorithms in IR -- chapter 7 Demand of Evolutionary Algorithms in Information Retrieval -- part Section IV: Model Formulations of Information Retrieval Techniques -- chapter 8 TABU Annealing: An Efficient and Scalable Strategy for Document Retrieval -- chapter 9 Efficient Latent Semantic Indexing-Based Information Retrieval Framework Using Particle Swarm Optimization and Simulated Annealing -- chapter 10 Music-Inspired Optimization Algorithm: Harmony-TABU for Document Retrieval Using Rhetorical Relations and Relevance Feedback -- chapter 11 Evaluation of Light Inspired Optimization Algorithm-Based Image Retrieval -- chapter 12 An Evolutionary Approach for Optimizing Content-Based Image Retrieval Using Support Vector Machine -- chapter 13 An Application of Firefly Algorithm to Region-Based Image Retrieval -- chapter 14 An Evolutionary Approach for Optimizing Region-Based Image Retrieval Using Support Vector Machine -- chapter 15 Optimization of Sparse Dictionary Model for Multimodal Image Summarization Using Firefly Algorithm -- part Section V: Algorithmic Solutions to the Problems in Advanced IR Concepts -- chapter 16 A Dynamic Feature Selection Method for Document Ranking with Relevance Feedback Approach -- chapter 17 TDCCREC: An Efficient and Scalable Web-Based Recommendation System -- chapter 18 An Automatic Facet Generation Framework for Document Retrieval -- chapter 19 ASPDD: An Efficient and Scalable Framework for Duplication Detection -- chapter 20 Improvisation of Seeker Satisfaction in Yahoo! Community Question Answering Using Automatic Ranking, Abstract Generation, and History Updation -- part Section VI Findings and Summary -- chapter 21 Findings and Summary of Text Information Retrieval Chapters -- chapter 22 Findings and Summary of Image Retrieval and Assessment of Image Mining Systems Chapters. 
<br/><br/><label>ISBN: </label>9781315392622 9781315392592 
<br/><br/><label>Standard No.: </label>10.1201/9781315392622   doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Querying (Computer science)<br/>Big data.<br/>Information retrieval--Experiments.<br/>Information storage and retrieval systems--Evaluation.
<br/><br/><label>LC Class. No.: </label>QA76.9.D343  / L384 2016 
<br/><br/><label>Dewey Class. No.: </label>006.312  / L352