Context-aware Web Recommendation
Context-Aware Web Recommendation is a recommendation approach that extends traditional web recommendation by incorporating contextual information—such as user location, time, device, or social environment—to dynamically adapt suggestions, thereby improving relevance and personalization in web-based systems.
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2017–2026
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Uthayasankar Sivarajah, Zahir Irani, Suraksha Gupta et al. · Industrial Marketing Management · 2019 · 322 citations · Full text
Management, Management Information Systems, Sustainability Management +15
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LIP6
Paris, France
2 h-index
2 publications
52 citations

Peking University
Beijing, China
2 h-index
5 publications
53 citations
University of Southampton
Southampton, United Kingdom
2 h-index
5 publications
98 citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
33 citations

Sorbonne Université
Paris, France
2 h-index
2 publications
52 citations

National Taiwan University
Taipei, Taiwan
2 h-index
2 publications
33 citations
Lanzhou University
Lanzhou, China
2 h-index
9 publications
231 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
50 citations
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2 publications · 125 citations
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2 publications · 172 citations
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1 publications · 322 citations
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Repository · 1 publications · 12 citations
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1 publications · 33 citations
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