It is not clear how to document or create a tutorial for a framework. But a good and extended idea is to create several “recipes” that show how to use the framework in a progressive way. That has been the approach followed in jCOLIBRI 2. We have documented several examples (that also serve as tests) that show how to use its features. Following table summarizes the features applied on each example so you can find what you are looking for:

Test

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Data Base connector

Plain Text connector

Ontology connector

Custom connectors

KNN

Enumerated Attributes

User Defined Types

Compound Attributes

Reuse methods

Revise methods

Retain methods

Cases with solution

Attributes mapped to an ontology

Ontological similarity functions

Evaluation of CBR systems

Visualization of case bases

Textual CBR methods

Textual similarity methods

Lucene similarity method

Accuracy Evaluation

Maintenance Algorithms

Maintenance Evaluation

Classification

Test

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Following table summarizes which features of the framework are included in each example of
recommender systems.

Feature

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Template Type

Single Shot recommender

Conversational A

Conversational B

Navigation Type

Navigation by Asking

Navigation by Proposing

Preference elicitation

Form Filling

Asking for an attribute

Profile

Retrieval

Filtering

NN Scoring

Collaborative

Cases Selection

Tabu List

Create Complex Query from Critiques or selected Case

Feature

Test

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