Abstract
This study explores how ovarian cancer (OvCa) patients and caregivers engage with online health communities (OHCs), offering insights to address the cold-start problem in health recommender systems. Analyzing 909 initial posts and 14,816 comments from the National Ovarian Cancer Coalition (NOCC) forum, we examined how users’ contributions evolve over time. Initial interactions typically center on emotional support and personal experience sharing, while more advanced engagement, such as advice and referrals, emerge later as users gain more domain knowledge. We introduce a novel “start position” metric to identify when users begin providing each support type. Our results reveal distinct progression patterns and emphasize the importance of dynamic user modeling to reflect users’ evolving knowledge and roles. These findings inform the design of OvCa-specific recommender system, which our team develops with support of the National Library of Medicine.
| Original language | English |
|---|---|
| Pages (from-to) | 1538-1540 |
| Number of pages | 3 |
| Journal | Proceedings of the Association for Information Science and Technology |
| Volume | 62 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Oct 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Health recommender systems
- Information needs
- Online health communities
- Ovarian cancer
ASJC Scopus subject areas
- General Computer Science
- Library and Information Sciences
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