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tr.v. per·son·al·ized, per·son·al·iz·ing, per·son·al·iz·es
a. To render personal rather than impersonal or purely professional: personalized the doctor-patient relationship.
b. To make or alter so as to meet individual needs, inclinations, or specifications: personalize a drug regimen; personalize emails to potential customers.
c. To have printed, engraved, or monogrammed with one's name or initials: personalized the bath towels.
2. To take (a general remark or characterization) in a personal manner.
3. To attribute human or personal qualities to; personify: "songs from the fifties and sixties that personalized automobiles by giving them names" (Christopher Hitchens).

per′son·al·i·za′tion (-lĭ-zā′shən) n.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
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The American Heritage® Roget's Thesaurus. Copyright © 2013, 2014 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
References in periodicals archive ?
Kavita Das and O P Vyas (Kavita Sharma, 2011) have presented a model for web personalization approach using web mining.
W8: Intelligent Techniques for Web Personalization and Recommendation
The four-year-old Web personalization tech firm, founded by former Myspace COO Amit Kapur, helps publishers surface more relevant content to their users based on a wealth of data.
Founded in 2004, iGoDigital is a provider of Web personalization solutions that deliver predictive, real-time product recommendations and online guided selling experiences.
The challenge in designing effective Web personalization systems is to improve the scalability of collaborative filtering through offline pattern discovery, while maintaining or improving the overall recommendation effectiveness.
Semantically enhanced web personalization approaches and techniques, 32nd IEEE International Conference on Information Technology Interfaces (ITA'10), 217-222
In addition, 53% of those surveyed said they will specifically focus on Web personalization engines in the coming months.
Semantic web personalization and context awareness; management of personal identities and social networking.
Contributors from around the world shed light on areas of research such as data mining techniques for web personalization, concept-based mining models, intrusion detection using machine learning, pattern discovery from biological data, and fuzzy clustering based image segmentation algorithms.
Over the years, numerous articles have described web personalization and related customization services.