Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
Multiple studies have focused on predicting the prospective popularity of an online document as a whole, without paying attention to the contributions of its individual parts.- doi
- 10.1145/3511095.3531268
- name
- Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
- source
- ACM HyperText 2022 publisher HTML and proceedings PDF (authorized reconciliation)
- license
- © 2022 Association for Computing Machinery.
- summary
- Multiple studies have focused on predicting the prospective popularity of an online document as a whole, without paying attention to the contributions of its individual parts.
- import_kind
- full_text
- open_access
- false
- displayAuthor
- Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma
- displayPublishTime
- 2022-06-28
- acm_source_attribution
- Reconciled from authorized ACM publisher HTML and proceedings PDF
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