Recommendation Generation Justified for Information Access Assistance Service (IAAS) : Study of Architectural Approaches Article Swipe
Kyelem Yacouba
,
Florence Sèdes
,
Ouedraogo TounwendyamFrédéric
,
Kiswendsida Kisito Kaboré
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5819304
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5819304
Recommendation systems only provide more specific recommendations to users. They do not consider giving a justification for the recommendation. However, the justification for the recommendation allows the user to make the decision whether or not to accept the recommendation. It also improves user satisfaction and the relevance of the recommended item. However, the IAAS recommendation system that uses advisories to make recommendations does not provide a justification for the recommendations. That is why in this article, our task consists for helping IAAS users to justify their recommendations.
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Metadata
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4226343288Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.5819304Digital Object Identifier
- Title
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Recommendation Generation Justified for Information Access Assistance Service (IAAS) : Study of Architectural ApproachesWork title
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articleOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-01-05Full publication date if available
- Authors
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Kyelem Yacouba, Florence Sèdes, Ouedraogo TounwendyamFrédéric, Kiswendsida Kisito KaboréList of authors in order
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https://doi.org/10.5281/zenodo.5819304Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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Service (business), Computer science, Business, Computer security, World Wide Web, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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