Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual Information Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.4018/ijswis.371420
In today's digital landscape, recommendation systems are vital for personalized content delivery across e-commerce, social media, and online education. This paper presents a Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual Information, addressing significant challenges posed by data sparsity in conventional recommendation methods. Traditional algorithms often struggle with limited user behavior and item data, resulting in poor recommendations. Our approach utilizes a weighted mutual information similarity algorithm with a smoothing coefficient to better capture relationships among user actions, product features, and contextual tags. Experimental results reveal that the proposed method significantly outperforms existing algorithms, achieving a hit rate exceeding 72% and notable improvements in recommendation coverage. This research not only enhances the effectiveness of recommendation systems in sparse data contexts but also offers valuable insights for future advancements in personalized information retrieval.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4018/ijswis.371420
- https://www.igi-global.com/ViewTitle.aspx?TitleId=371420&isxn=9798337311630
- OA Status
- diamond
- Cited By
- 1
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408432505
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4408432505Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4018/ijswis.371420Digital Object Identifier
- Title
-
Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual InformationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-14Full publication date if available
- Authors
-
Lifeng Liu, Qinneng Xu, Xuxia Zhao, Ping ChengList of authors in order
- Landing page
-
https://doi.org/10.4018/ijswis.371420Publisher landing page
- PDF URL
-
https://www.igi-global.com/ViewTitle.aspx?TitleId=371420&isxn=9798337311630Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.igi-global.com/ViewTitle.aspx?TitleId=371420&isxn=9798337311630Direct OA link when available
- Concepts
-
Computer science, Recommender system, Smoothing, Information retrieval, Mutual information, Sample (material), Similarity (geometry), Data mining, Social media, Artificial intelligence, World Wide Web, Computer vision, Image (mathematics), Chromatography, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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