Semantic Search
A search method that seeks to improve search accuracy by understanding the contextual meaning of terms in a query rather than just matching keywords.
A search method that seeks to improve search accuracy by understanding the contextual meaning of terms in a query rather than just matching keywords.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Ensuring that color choices in design are inclusive and usable by people with color vision deficiencies.
The process of creating representations of how users will interact with a system, including the flow of interactions and the overall experience.
The Principle of Exemplars is an information architecture guideline that uses representative examples to illustrate content categories.
The extent to which consumers can identify a brand by its attributes such as logo, tagline, or packaging.
An ongoing process of learning about user needs and validating assumptions through continuous research and experimentation.
A behavioral economics model that explains decision-making as a conflict between a present-oriented "doer" and a future-oriented "planner".
Interference in the communication process caused by ambiguity in the meaning of words and phrases, leading to misunderstandings.