Relevance Optimization is a methodological framework within personalized marketing that systematically enhances the alignment between individual consumer preferences and targeted content by dynamically adjusting selection criteria, delivery timing, and message attributes to maximize contextual and behavioral resonance.
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32
Mathematical Foundations of Information Retrieval
Sándor Dominich · Computational Linguistics · 2002 · 77 citations · Full text
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63
Microsoft (United States)
Redmond, United States
4 h-index
9 publications
329 citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
120 citations
King Saud University
Riyadh, Saudi Arabia
2 h-index
6 publications
144 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
3 publications
66 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
177 citations
University of Southern Denmark
Odense, Denmark
1 h-index
1 publications
112 citations
University of Kurdistan
Sanandaj, Iran
1 h-index
2 publications
368 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
112 citations
1–8 of 63
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 3 publications · 220 citations
3
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- Pattern Recognition
2 publications · 197 citations
2
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- Future Generation Computer Systems
FGCS · 2 publications · 84 citations
2
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 2 publications · 640 citations
2
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- Journal of Imaging
1 publications · 28 citations
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