Information Retrieval (IR) System
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An Information Retrieval (IR) System is an information processing system that implements an information retrieval algorithm to solve an automated IR task.
- Context:
- It can typically make use of a Document Index (created by a Text Indexing System) for efficient information access.
- It can typically process user querys through query understanding algorithms to determine information need.
- It can typically match query terms against indexed documents using relevance models.
- It can typically rank retrieved documents based on relevance scores and quality metrics.
- It can typically present search results in organized formats for user consumption.
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- It can often implement Boolean search operators for precise query formulation.
- It can often support natural language querying for intuitive information access.
- It can often incorporate relevance feedback mechanisms to improve search performance.
- It can often use document clustering techniques to organize search results.
- It can often maintain query logs to analyze user behavior and improve retrieval effectiveness.
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- It can be based on an Information Retrieval Software Package for core functionality implementation.
- It can require a Query Form (supported by a Text Search System) for user interaction.
- It can support an (interactive) Information Retrieval Service for end-user access.
- It can be evaluated by an IR Evaluation Task using precision metrics and recall metrics.
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- It can range from being a Simple Information Retrieval (IR) System to being a Complex Information Retrieval (IR) System, depending on its IR algorithm sophistication.
- It can range from being a General-Purpose Information Retrieval (IR) System to being a Domain-Specific Information Retrieval (IR) System, depending on its information domain coverage.
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- Examples:
- Web Information Retrieval (IR) Systems, such as:
- Enterprise Information Retrieval (IR) Systems, such as:
- Academic Information Retrieval (IR) Systems, such as:
- Legal Information Retrieval (IR) Systems, such as:
- Multimedia Information Retrieval (IR) Systems, such as:
- ...
- Counter-Examples:
- An Information Filtering System, which proactively selects relevant information based on user profiles rather than responding to explicit querys.
- An Information Analysis System, which focuses on content analysis rather than information retrieval.
- An Information Extraction System, which identifies and extracts structured information from unstructured text.
- An Information Transmission System, which facilitates data transfer rather than information discovery.
- A Recommendation System, which suggests items based on user preferences rather than explicit querys.
- See: Digital Indexing System, Question Answering System, Search Engine Technology, Document Ranking Algorithm, Information Retrieval Model.