I’ll know it when I see it: Toward cognitively plausible recommendations
نویسندگان
چکیده
This paper introduces GURU, a system that informatively and flexibly helps people find an item they are likely to enjoy. Our thesis is that a recommendation system can be cognitively plausible and collaborate with its users in real time. Like people, GURU retrieves supplementary data and considers similarity along multiple dimensions. Its representation is analogous to the ways that people recognize similarity, with overlapping sets of items and their prototypes. This paper provides empirical evidence from human subjects that GURU’s approach to recommendation is both reasonable and effective for a large dataset of movies.
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