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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Bingöl, Haluk.
dc.contributor.author Çiftçi, Sedat.
dc.date.accessioned 2023-03-16T09:59:44Z
dc.date.available 2023-03-16T09:59:44Z
dc.date.issued 2008.
dc.identifier.other CMPE 2008 C54
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12102
dc.description.abstract In Simple Recommendation Model (SRM), the effect of memory size on fame with respect to the population size is analyzed. Agents of SRM may learn new agents and may forget some of the agents that they know as a result of recommendations. During recommendations, the agent who will make recommendation, the agent to whom recommendation is made, the agent that will be recommended and the agent that will be forgotten are selected. These selections are random in SRM. T he population size is constant in SRM. In this thesis, SRM is extended b y chang ing the selection method of agents. Also, dynamic population size is introduced. Each extension is simulated and the effect of each extension is analyzed by comparing the simulation results with the results of SRM.
dc.format.extent 30cm.
dc.publisher Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008.
dc.relation Includes appendices.
dc.relation Includes appendices.
dc.subject.lcsh Recommender systems (Information filtering)
dc.title Extension of simple recommendation model
dc.format.pages xiii, 62 leaves;


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