Preferencecollection
Preferencecollection is the process and system of gathering, organizing, and maintaining information about user, consumer, or agent preferences to support personalization, recommendations, and decision-making. It combines explicit inputs such as ratings, likes, and survey responses with implicit signals drawn from interactions like clicks, dwell time, purchases, and streaming behavior. Preference data can concern product attributes, content genres, or broader goals and values, and may be stored as profiles, vectors of feature weights, ranked lists, or probabilistic models. Profiles can be static or dynamic, updated as new evidence arrives, often with temporal considerations like recency weighting and decay.
Collection methods include opt-in surveys and feedback mechanisms, instrumentation of websites and apps to log interactions,
Use cases span recommender systems, personalized content delivery, adaptive user interfaces, targeted marketing, and market research.