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Information Retrieval (IR) - Coggle Diagram
Information Retrieval (IR)
Problems Before Search Engine Existence
Limited Resources
Ineffective Search (Low Quality)
Inefficient Search (Slow)
Definition
Information Retrieval (IR) is obtaining information resources that are relevant to an information need from a collection of resources.
IR vs NLP vs DB
High interaction
Unstructured and semi-structured data
In-exact results (Relevance)
IR makes NLP useful. NLP makes IR interesting
Topics you Expect to Learn
Boolean retrieval
The term vocabulary and postings lists
Dictionaries and tolerant retrieval
Index construction
Index compression
Scoring, term weighting, and the vector space model
Computing scores in a complete search system
Evaluation in information retrieval
Relevance feedback and query expansion
XML retrieval
Probabilistic information retrieval
Language models for information retrieval
Text classification and Naive Bayes
Vector space classification
Support vector machines and machine learning on documents
Flat clustering
Hierarchical clustering
Matrix decompositions and latent semantic indexing
Web search basics
Web crawling and indexes
Link analysis
IR Basics
Main Components
Documents or Collections
Queries
Query Vs Information Need
Different Forms of Queries
Relevant Documents
Evaluating IR
Effectiveness (Relevance)
Efficiency (Speed)
IR Applications
Enterprise Search
Social Search
Microblog Search
Text Classification
Expert Search: Searching for human experts
Speech Retrieval
Conversational Search
Recommendation Systems: The query could be the user's history
Stuff on Search Results Page
Snippet selection / summarization
Categorization (Search Verticals)
Sponsored Search
Information Visualization: How to present information in an appealing way
Skills to Work as an Information Retrieval (IR)
Engineer
Machine Learning
NLP
Other Information Retrieval (IR) specific skills
Data Mining