Work

Towards Recommender Engineering: Tools and Experiments in Recommender Differences

Year: 2014

Type: dissertation

Abstract: University of Minnesota Ph.D. dissertation. xi, 250 pages, appendices A-B.

Source: University of Minnesota Digital Conservancy (University of Minnesota)

Author: Michael D. Ekstrand

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

OpenAlex ID: W218348339

Cites: 103

Cited by: 7

Related to: 10