Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: SHAP
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Aslib Journal of Information Management 1–22.
Published: 10 July 2026
... The analysis draws on a dataset of 433,350 films from IMDb and TMDB. Multiple predictive models were employed alongside SHAP and LIME to identify the factors most strongly associated with success, defined through a dual rating–vote threshold. Findings The results show that popularity metrics, director...
Journal Articles
Aslib Journal of Information Management 1–20.
Published: 08 January 2026
... the detection of misinformation are determined. A series of machine learning (ML)-based and deep learning (DL)-based models are employed to assess whether comment environment features can help improve model performance. Finally, Shapley Additive Explanations (SHAP) are applied to interpret feature contributions...
