Year: 2006
Type: dissertation
Abstract: People have rich points-of-view that afford them the ability to judge the aesthetics of people, things, and everyday happenstance; yet viewpoint has an ineffable quality that is hard to articulate in words, let alone capture in computer models. Inspired by cultural theories of taste and identity, this thesis explores end-to-end computational modeling of people’s tastes—from model acquisition, to generalization, to application—under various realms. Five aesthetical realms are considered—cultural taste, attitudes, ways of perceiving, taste for food, and sense-of-humor. A person’s model is acquired by reading her personal texts, such as a weblog diary, a social network profile, or emails. To generalize a person model, methods such as spreading activation, analogy, and imprimer supplementation are applied to semantic resources and search spaces mined from cultural corpora. Once a generalized
Authors: Pattie Maes, Xinyu Hugo Liu
Institution: Massachusetts Institute of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1495346164