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Toward Socially Agreeable Aggregate Functions for Group Recommender Systems
옥창수(Changsoo Ok),이석천(Seokcheon Lee),정병호(Byungho Jeong) 한국경영과학회 2007 韓國經營科學會誌 Vol.32 No.4
In ubiquitous computing, shared environments are required to adapt to people intelligently. Based on information about user preferences, the shared environments should be adjusted so that all users in a group are satisfied as possible. Although many group recommender systems have been proposed to obtain this purpose, they only consider average and misery. However, a broad range of philosophical approaches suggest that high inequality reduces social agreeability, and consequently causes users’ dissatisfactions. In this paper, we propose social welfare functions, which consider inequalities in users’ preferences, as alternative aggregation functions to achieve a social agreeability. Using an example in a previous work[7], we demonstrate the effectiveness of proposed welfare functions as socially agreeable aggregate functions in group recommender systems.
NRL 사업의 예산배분을 위한 DEA/AHP 혼합 모형
남인석(InSuk Nam),유태우(TaiWoo You),하재원(Jaewon Ha),정병호(ByungHo Jeong) 대한산업공학회 2010 산업공학 Vol.23 No.2
This paper suggests a DEA/AHP hybrid model to deal with an allocation problem of research budget for the national research lab(NRL) program. The qualitative factors are appraised by AHP model and the quantitative factors are dealt with DEA model to evaluate the performance of research activities considering tangible and intangible factors. The proposed hybrid model is applied to get the importance weight of research areas for research budget allocation of NRL program.