This post is about data preservation.
The topic of information retrieval models is covered in CSSTIAE exam, topic 2023.105.
Information Retrieval
Information retrieval (in Spanish, recuperación de la información) is used in search engines, databases, and document retrieval systems.
Information Retrieval Models
Information retrieval models featured on this post:
- Classical
- Boolean
- Vector Space
- Probabilistic
- Structured
- Set-based
- Graph-based retrieval
Classical information retrieval systems are mostly oriented towards search actions, where users enter queries to locate specific documents or information.
Hypertext-based systems, such as websites and online encyclopedias, often facilitate browsing (ojeo), where users navigate through linked content rather than performing direct searches.
Browsing is especially useful when users do not have a well-defined query and prefer to explore information through an interconnected structure. are usually tailored to allow quick browsing.
The set-based model may be the same as non-coincidental lists.
Nearby node model tries to combine the document content and the knowledge about the structure. It may be related to Proximity-Based Retrieval in Structured Documents or Graph-Based Retrieval with Structural Context.
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External References
- Information recovery
- Maldonado; “Recuperacion de información“, chapter 2; Universidad de las Américas Puebla (UDLAP)