Restaurant recommendation for group of people in mobile environments using probabilistic multi-criteria decision making

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5068 LNCS, Issue , 2008, Pages 114-122

  Park, Moon Hee ^a   Park, Han Saem ^a   Cho, Sung Bae ^a  

^a Yonsei University   (South Korea)

Author keywords

AHP; Bayesian network; Information recommendation; Multi criteria decision making

Indexed keywords

ANALYTIC HIERARCHY PROCESS; BAYESIAN NETWORKS; DECISION MAKING; DECISION THEORY; FLOW INTERACTIONS; HIERARCHICAL SYSTEMS; INFERENCE ENGINES; INTERACTIVE COMPUTER SYSTEMS; PROBLEM SOLVING;

AHP; ANALYTIC HIERARCHY; ASIA-PACIFIC; BAYESIAN; BAYESIAN NETWORK; GROUP USERS; HUMAN INTERACTIONS; INFORMATION RECOMMENDATION; MOBILE ENVIRONMENTS; MULTI-CRITERIA DECISION MAKING; NETWORK TECHNOLOGIES; RECOMMENDATION SYSTEMS; RELIABLE PERFORMANCE; RULE-BASED; SYSTEM USABILITY; USERS' PREFERENCES;

HUMAN COMPUTER INTERACTION;

EID: 48949097665     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70585-7_13     Document Type: Conference Paper

References (11)

1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE T Knowl Data EN 17(6), 734-749 (2005)
2. Lieberman, H., et al.: Let's browse: A collaborative web browsing agent. In: Proc. of the Int. Conf. on Intelligent User Interfaces, pp. 65-68 (1998)
3. O'Connor, M., et al.: PolyLens: A recommender system for groups of users. In: Proc. of the European Conf. on Computer-Supported Cooperative Work, pp. 199-218 (2000)
4. Dey, A.K.: Understanding and using context. Personal and Ubiquitous Computing 5, 20-24 (2001)
5. Tewari, G., et al.: Personalized location-based brokering using an agent-based intermediary architecture. Decis Support Syst. 34(2), 127-137 (2003)
6. Kim, C.Y., et al.: Viscors: A visual-content recommender for the mobile web. IEEE Intell Syst. 19(6), 32-39 (2004)
7. Cooper, G., Herskovits, E.A.: A Bayesian method for the induction of probabilistic networks from data. Lach Learn 9(4), 109-347 (1992)
8. Korpipaa, P., et al.: Bayesian approach to sensor-based context awareness. Personal and Ubiquitous Computing 7(2), 113-124 (2003)
9. Horvitz, E., et al.: Models of attention in computing and communications: From principles to applications. Commun. Acm 46(3), 52-59 (2003)
10. Saaty, T.L.: Multicriteria Decision Making: The Analytic Hierarchy Process, Planning, Priority Setting, Resource Allocation. RWS Publications (1990)
11. Brooke, J.: SUS: A "quick and dirty" Usability Scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, A.L. (eds.) Usability Evaluation in INdustry. Taylor and Francis, London (1996)