Generating recommendations for consensus negotiation in group personalization services

Personal and Ubiquitous Computing

Volumn 16, Issue 5, 2012, Pages 597-610

  Salamó, Maria ^a   McCarthy, Kevin ^b   Smyth, Barry ^b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Consensus; Group recommendation; Ubiquitous personalization services

Indexed keywords

CONSENSUS; CONSENSUS STRATEGY; GROUP RECOMMENDATIONS; GROUP RECOMMENDER SYSTEMS; MULTIPLE USER; PERSONALIZATION SERVICES; POTENTIALLY CONFLICTING PREFERENCES; PREFERENCE DATA; UBIQUITOUS COMMERCE; UBIQUITOUS COMPUTING ENVIRONMENT; USER MODELS;

RECOMMENDER SYSTEMS; UBIQUITOUS COMPUTING;

COMMERCE;

EID: 84864613223     PISSN: 16174909     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00779-011-0413-1     Document Type: Conference Paper

References (49)

1. Ardissono L, Goy A, Petrone G, Segnan M, Torassol P (2003) Intrigue: personalized recommendation of tourist attractions for desktop and handset devices. Appl Artif Intell 17(8-9):687-714
2. Baltrunas L, Makcinskas T, Ricci F (2010) Group recommendations with rank aggregation and collaborative filtering. In: Proceedings of the fourth ACM conference on recommender systems. ACM, pp 119-126
3. Berkovsky S (2005) Ubiquitous user modeling in recommender systems. In: User modeling 2005. Lecture notes in computer science, vol 3538. Springer, Berlin, pp 496-498
4. Berkovsky S, Freyne J (2010) Group-based recipe recommendations: analysis of data aggregation strategies. In: Proceedings of the fourth ACM conference on recommender systems. ACM, pp 111-118
5. Burke R, Hammond K, Young B (1997) The FindMe approach to assisted browsing. J IEEE Expert 12(4):32-40
6. Burke R, Hammond K, Young B (1997) The FindMe approach to assisted browsing. J IEEE Expert 12(4):32-40
7. Cerquides J, López-Sánchez M, Reyes-Moro A, Rodríguez-Aguilar JA (2007) Enabling assisted strategic negotiations in actualworld procurement scenarios. Electron Comm Res 7:189-220
8. Crossen A, Budzik J, Hammond KJ (2002) Flytrap: intelligent group music recommendation. In: Gil Y, Leake DB (eds) Proceedings of the international conference on intelligent user interfaces (IUI-2002). ACM, New York, USA, pp 184-185
9. De Silva H, Moessener K, Carrez F (2009) Group knowledge management for context-aware group applications and services. In: Personal, indoor and mobile radio communications, 2009 IEEE 20th international symposium on, pp 2851-2855
10. Demšar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1-30
11. Duda R, Gaschnig J, Hart P (1979) Model design in the prospector consultant system for mineral exploration. In: Mitchie D (eds) Expert systems in the micro-electronic age. Edinburgh University Press, Edinburgh, UK
12. Ferrer-Troyano F, Aguilar-Ruiz JS, C RJ (2005) Incremental rule learning based on example nearness from numerical data streams. In: Proceedings of the 2005 ACM symposium on applied computing, SAC '05. ACM, pp 568-572
13. Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32(200):675-701
14. Friedman M (1940) A comparison of alternative tests of significance for the problem of m rankings. Ann Math Stat 11(1):86-92
15. Goren-Bar D, Glinansky O (2002) Family stereotyping-a model to flter tv programs for multiple viewers. In: Proceedings of the workshop on personalization in future TV at the conference on adaptive hypermedia and adaptive web-based systems (AH-2002). Springer, Malaga, Spain
16. Gratz P, Andronache A, Rothkugel S (2008) Ad hoc collaborative filtering for mobile networks. In: Proceedings of the 2008 IEEE international conference on sensor networks, Ubiquitous, and trustworthy computing (sutc 2008). IEEEComputer Society, pp 355-360
17. Haensel R, Coutand O, Kernchen R, Nanni R, Moesser K, Droegehorn D (2006) Time gems: group experience in pervasive computing environments. In: Proc of the 15th IST mobile and communications summit
18. Iman R, Davenport J (1980) Approximations of the critical region of the friedman statistic. Communications in statistics, pp 571-595
19. Jameson A (2004) More than the sum of its members: Challenges for group recommender systems. In: Proceedings of the international working conference on advanced visual interfaces. Gallipoli, Italy, pp 48-54
20. Jameson A, Baldes S, Kleinbauer T (2003) Enhancing mutual awareness in group recommender systems. In: Mobasher B, Anand S (eds) Proceedings of the IJCAI 2003 workshop on intelligent techniques for web personalization. AAAI, Menlo Park, CA
21. Jameson A, Smyth B (2007) Recommendation to groups. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web. Springer, Berlin, pp 596-627
22. Jung KY (2006) User preference through learning user profile for ubiquitous recommendation systems. In: Knowledge-based intelligent information and engineering systems, lecture notes in computer science, vol 4251. Springer, Berlin, pp 163-170
23. Kim HK, Kim JK, Ryu YU (2009) Personalized recommendation over a customer network for ubiquitous shopping. IEEE Trans Serv Comput 2:140-151
24. Kourouthanassis P, Spinellis D, Roussos G, Giaglis GM (2002) Intelligent cokes and diapers: mygrocer ubiquitous computing environment. In: Proceedings of the first international conference on mobile business (M-business '02)
25. Lewis N (2004) From customization to ubiquitous personalization: digital identity and ambient network intelligence. Interactions 11:48-50
26. Lieberman H, Dyke NV, Vivacqua A (1999) Let's browse: a collaborative web browsing agent. In: Proceedings of the international conference on intelligent user interfaces (IUI-1999), New York, p 65
27. Masthoff J (2004) Group modeling: selecting a sequence of television items to suit a group of viewers. User Model User Adapt Interact 14(1):37-85
28. Masthoff J, Gatt A (2006) In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems. User Model User Adap Interact 16:281-319
29. McCarthy J, Anagnost T (1998) Musicfx: an arbiter of group preferences for computer supported collaborative workouts. In: Proceedings of conference on computer supported cooperative work, pp 363-372
30. Mccarthy K, Mcginty L, Smyth B (2007) Case-based group recommendation: compromising for success. In: Proceedings of the 7th international conference on case-based reasoning: casebased reasoning research and development. Springer, Berlin, pp 299-313
31. McCarthy K, McGinty L, Smyth B, Salamó M (2006) The needs of the many: a case-based group recommender system. In: Roth-Berghofer TR, Goker MH, Guvenir HA (eds) Proceedings of the European conference on case based reasoning (ECCBR 2006). Springer, Turkey, pp 196-210
32. McCarthy K, Salamó M, Coyle L, McGinty L, Nixon BSP (2006) CATS: A synchronous approach to collaborative group recommendation. In: Proceedings of the FLAIRS 2006 conference. Springer, Florida, USA, pp 1-16
33. McGinty L, Smyth B (2003) Tweaking critiquing. In: Proceedings of the workshop on personalization and web techniques at the international joint conference on artificial intelligence. Morgan-Kaufmann
34. Miller BN, Albert I, Lam SK, Konstan JA, Riedl J (2003) Movielens unplugged: experiences with an occasionally connected recommender system. In: Proceedings of the 8th international conference on Intelligent user interfaces. ACM, New York, pp 263-266
35. O'Connor M, Cosley D, Konstan J, Riedl J (2001) PolyLens: a recommender system for groups of users. In: Proc. of European conference on computer-supported cooperative work, pp 199-218
36. Park MH, Park HS, Cho SB (2008) Restaurant recommendation for group of people in mobile environments using probabilistic multi-criteria decision making. In: Computer-human interaction, lecture notes in computer science, vol 5068. Springer, Berlin, pp 114-122
37. Pizzutilo S, Carolis BD, Cozzolongo G, Ambruoso F (2005) Group modeling in a public space: methods, techniques and experiences. In: Proceedings of WSEAS AIC 05. ACM, Malta
38. von Reischach F, Guinard D, Michahelles F, Fleisch E (2009) A mobile product recommendation system interacting with tagged products. In: Proceedings of the 2009 IEEE international conference on pervasive computing and communications. IEEE Computer Society, pp 1-6
39. von Reischach F, Michahelles F, Schmidt A (2009) The design space of ubiquitous product recommendation systems. In: Proceedings of the 8th international conference on mobile and ubiquitous multimedia, MUM '09. ACM, New York, NY, USA, pp 2:1-2:10
40. Resatsch F, Karpischek S, Sandner U, Hamacher S (2007) Mobile sales assistant: Nfc for retailers. In: Proceedings of the 9th international conference on human computer interaction with mobile devices and services, MobileHCI '07. ACM, pp 313-316
41. Seitz C, Berger M, Bauer B (2005) Towards a general approach to mobile profile based distributed grouping. Pers Ubiquitous Comput 9:90-99
42. Senot C, Kostadinov D, Bouzid M, Picault J, Aghasaryan A, Bernier C (2010) Analysis of strategies for building group profiles. In: User modeling, adaptation, and personalization, lecture notes in computer science. Springer, Berlin, pp 40-51
43. van Setten M, Pokraev S, Koolwaaij J (2004) Context-aware recommendations in the mobile tourist application compass. In: De Bra P, Nejdl W (eds) Adaptive Hypermedia and adaptive web-based systems, lecture notes in computer science, vol 3137. Springer, Berlin/Heidelberg, pp 515-548
44. Smyth B, Balfe E, Freyne J, Briggs P, Coyle M, Boydell O (2004) Exploiting query repetition and regularity in an adaptive community-based web search engine. User Model User Adap Interact 14(5):383-423
45. Smyth B, McGinty L (2003) An analysis of feedback strategies in conversational recommender systems. In: Cunningham P (ed) Proceedings of the 14th national conference on artificial intelligence and cognitive science. Dublin, Ireland
46. Wang CY, Wu YH, Chou SC (2010) Toward a ubiquitous personalized daily-life activity recommendation service with contextual information: a services science perspective. Inf Syst E-Bus Manag 8:13-32
47. Wood KR, Richardson T, Bennett F, Harter A, Hopper A (1997) Global teleporting with java: towards ubiquitous personalised computing. IEEE Comput 30(2):53-59
48. Yu Z, Zhou X, Hao Y, Gu J (2006) Tv program recommendation for multiple viewers based on user profile merging. User Model User Adap Interact 16:63-82
49. Zenebe A, Ozok A, Norcio AF (2005) Personalized recommender systems in e-commerce and m-commerce: a comparative study. In: Proceedings of the 11th international conference on humancomputer Interaction