Mason Archival Repository Service

A Decision-Guided Group Package Recommender Based on Multi-Criteria Optimization and Voting

Show simple item record

dc.contributor.advisor Brodsky, Alexander Mengash, Hanan Abdullah
dc.creator Mengash, Hanan Abdullah 2016-09-28T10:23:52Z 2016-09-28T10:23:52Z 2016
dc.description.abstract Recommender systems are intended to help users make effective product and service choices, especially over the Internet. They are used in a variety of applications and have proven to be valuable for predicting the utility or relevance of a particular item and for providing personalized recommendations. State-of-the-art recommender systems focus on atomic (single) products or services and on individual users. This dissertation considers three ways of extending recommender systems: (1) to make composite (package) rather than atomic recommendations; (2) to use multiple rather than single criteria for recommendations; and, most importantly, (3) to support groups of diverse users or decision makers who might have different, even strongly conflicting, views on the weights of different criteria.
dc.format.extent 164 pages
dc.language.iso en
dc.rights Copyright 2016 Hanan Abdullah Mengash
dc.subject Computer science en_US
dc.subject Information technology en_US
dc.subject Artificial intelligence en_US
dc.subject Decision guidance en_US
dc.subject Group decision-making en_US
dc.subject Group recommender system en_US
dc.subject Multi-criteria optimization en_US
dc.subject Package recommendations en_US
dc.subject Renewable energy sources investment en_US
dc.title A Decision-Guided Group Package Recommender Based on Multi-Criteria Optimization and Voting
dc.type Dissertation Ph.D. Computer Science George Mason University

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


My Account