Mobile multimedia recommendation in smart communities: A survey

IEEE Access

Volumn 1, Issue , 2013, Pages 606-624

  Xia, Feng ^a   Asabere, Nana Yaw ^a   Ahmed, Ahmedin Mohammed ^a   Li, Jing ^a   Kong, Xiangjie ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Context Awareness; Mobile event guide; Mobile social learning; Multimedia recommender systems; Smart community

Indexed keywords

BROADBAND NETWORKS; INFORMATION SERVICES; MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS; RECOMMENDER SYSTEMS;

CONTEXT-AWARENESS; MOBILE EVENT GUIDE; MULTIMEDIA RECOMMENDER; SMART COMMUNITY; SOCIAL LEARNING;

TELECOMMUNICATION SERVICES;

EID: 84904462387     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2013.2281156     Document Type: Article

References (111)

1. J.Yong, H.Y. Lee, H. K.Yoo,H.Y.Youn, and O. Song, "Personalized recommendation system reflecting user preference with context-Awareness for mobile TV," in Proc. 9th IEEE Int. Symp. Parallel Distrib. Process. Appl. Workshops, 2011, pp. 232-237.
2. W. Z. Khan, Y. Xiang, M. Y. Aalsalem, and Q. Arshad, "Mobile phone sensing systems: A survey," IEEE Commun. Survey Tuts., vol. 15, no. 1, pp. 403-427, Apr. 2013.
3. S. Mann, "The emergence of mobile devices in-uencing learning from the viewpoint of convergence," in Proc. 5th IEEE Int. Conf. Wireless, Mobile, Ubiquitous Technol. Educ., Mar. 2008, pp. 191-193.
4. F. Xia and J. Ma, "Building smart communities with cyber physical systems," in Proc. ACM 1st Int. Symp. Dig. Footprints Soc. Commun. Intell., Beijing, China, Sep. 2011, pp. 1-6.
5. X. Li, R. Lu, X. Liang, X. Shen, J. Chen, and X. Lin, "Smart community: An internet of things application," IEEE Commun. Mag., vol. 49, no. 11, pp. 68-75, Nov. 2011.
6. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing," IEEE Commun. Mag., vol. 48, no. 9, pp. 140-150, Sep. 2010.
7. D. Kounavis, D. Zamani, and M. Giaglis, "An innovative conference management mobile application (CoMMA)," in Proc. 10th IEEE ICMB, Jun. 2011, pp. 292-296.
8. S. Michalakos, "G2G: Location-Aware mobile social networking with applications in recommender systems and gaming," in Proc. 6th ACM Int. Conf. Adv. Mobile Comput. Multimedia, 2008, pp. 163-169.
9. V. Raychoudhury, J. Cao, W. Zhu, and A. D. Kshemkalyani, "Context map for navigating the physical world," in Proc. 20th IEEE Euromi-cro Int. Conf. Parallel Distrib. Network-Based Process., Feb. 2012, pp. 146-153.
10. C. Liu, C. Sun, and J. Yu, "The design of an open hybrid recommendation system for mobile commerce," in Proc. IEEE Int. Conf. Comput. Intell. Model. Control Autom., Nov. 2008, pp. 861-866.
11. M.-H. Park, J.-H. Hong, and S.-B. Cho, "Location-based recommendation system using bayesian user's preference model in mobile devices," in Ubiquitous Intelligence and Computing. Berlin Heidelberg, Germany: Springer-Verlag, 2007, pp. 1130-1139.
12. Y. Ge, H. Xiong, A. Tuzhilin, K. Xiao, M. Gruteser, and M. J. Pazzani, "An energy efficient mobile recommender system," in Proc. 16th ACM Int. Conf. Knowl. Discovery Data Mining, Washington, DC, USA, Jul. 2010, pp. 899-908.
13. A. Moreno, H. Castro, and M. Riveill, "Decentralized recommender systems for mobile advertisement," in Proc. ACM Recommender Syst. Workshop Pers. Mobile Appl., Chicago, IL, USA, Oct. 2011, pp. 1-4.
14. L. Ramaswamy, P. Deepak, R. Polavarapu, K. Gunasekera, D. Garg, K. Visweswariah, and S. Kalyanaraman, "CAESAR: A context-Aware, social recommender system for low-end mobile devices," in Proc. 10th IEEE Int. Conf. Mobile Data Manag., Syst., Service Middleware, May 2009, pp. 338-347.
15. T. Horozov, N. Narasimhan, and V. Vasudevan, "Using location for personalized POI recommendations in mobile environments," in Proc. IEEE Int. Symp. Appl. Internet, Jan. 2006, pp. 124-129.
16. D. Gavalas and M. Kenteris, "A web-based pervasive recommendation system for mobile tourist guides," Pers. Ubiquitous Comput., vol. 15, no. 7, pp. 759-770, 2011.
17. R. Schifanella, A. Panisson, C. Gena, and G. Ruffo, "MobHinter: Epidemic collaborative-ltering and self-organization in mobile ad-hoc networks," in Proc. ACM Conf. Recommender Syst., 2008, pp. 27-34.
18. G. Hussein, "Mobile recommender system analysis and design," in Proc. 1st IEEE Int. Conf. Netw. Digit. Technol., Jul. 2009, pp. 14-19.
19. Q. H. Mahmoud, "Provisioning context-Aware advertisements to wireless mobile users," in Proc. IEEE Int. Conf. Multimedia Expo, Jul. 2006, pp. 669-672.
20. Y. Yoon, Y. Ahn, G. Lee, S. Hong, and M. Kim, "Context-Aware photo selection for promoting photo consumption on a mobile phone," in Proc. 10th ACM Int. Conf. Human Comput. Interact. Mobile Devices Services, 2008, pp. 33-42.
21. G. Vavoula and M. Sharples, "Meeting the challenges in evaluating mobile learning: A 3-level evaluation framework," Int. J. Mobile Blended Learn., vol. 1, no. 2, pp. 54-75, 2009.
22. D. Frohberg, C. Göth, and G. Schwabe, "Mobile learning projects-A critical analysis of the state-of-the-Art," J. Comput. Assist. Learn., vol. 25, no. 4, pp. 307-331, Aug. 2009.
23. L. F. Motiwalla, "Mobile learning: A framework and evaluation," Comput. Educ., vol. 49, no. 3, pp. 581-596, Nov. 2007.
24. M. Demirbilek, "Investigating attitudes of adult educators towards educational mobile media and games in eight european countries," J. Inf. Technol. Educ., vol. 9, pp. 235-247, Dec. 2010.
25. X. He and W. Hu, "An innovative web-based collaborative model and application structure," in Proc. IEEE Int. Conf. Comput. Sci. Softw. Eng., 2008, pp. 56-59.
26. C. Cheong, V. Bruno, and F. Cheong, "Designing a mobile-App-based collaborative learning system," J. Inf. Technol. Educ., Innovative Pract., vol. 11, no. 1, pp. 97-119, 2012.
27. A. A. Economides and A. Vasiliou, "Mobile collaborative learning using multicasting in MANETs," Int. J. Mobile Commun., vol. 5, no. 4, pp. 423-444, 2007.
28. C. Munteanu, H. Molyneaux, D. McDonald, J. Lumsden, R. Leung, H. Fournier, and J. Maitland, "Showing of your mobile device: Adult literacy learning in the classroom and beyond," in Proc. 13th ACM Int. Conf. Human Comput. Interact. Mobile Devices Services, 2011, pp. 95-104.
29. S. Nishimura, S. Das, D. Agrawal, and A. E. Abbadi, "MD-HBase: A scalable multidimensional data infrastructure for location aware services," in Proc. 11th IEEE Int. Conf. Mobile Data Manag., Jun. 2011, pp. 7-16.
30. M. Luimula and K. Kuutti, "Locawe: A Novel Platform for Location-Aware Multimedia Services," in Proc. 7th ACM Int. Conf. Mobile Ubiq-uitous Multimedia, 2008, pp. 122-129.
31. K. Jones, Building Context-Aware Service Architecture. Armonk, NY, USA: IBM, 2008, pp. 1-10.
32. B. Zenker and B. Ludwig, "ROSE: Assisting pedestrians to-nd preferred events and comfortable public transport connections," in Proc. 6th ACM Int. Conf. Mobile Technol. Syst., Sep. 2009, Article No. 16.
33. A. Luberg, P. Jarv, K. Schoefegger, and T. Tammet, "Context-Aware and multilingual information extraction for a tourist recommender system," in Proc. 11th ACM Int. Conf. Knowl. Manag. Knowl. Technol., Sep. 2011, Article No. 13.
34. B. A. Takrouri, K. Detken, C. Martinez, M. K. Oja, S. Stein, L. Zhu, and A. Shrader, "Mobile HolstenTour: Contextualized multimedia museum guide," in Proc. 6th ACM Int. Conf. Adv. Mobile Comput. Multimedia, 2008, pp. 460-463.
35. T. Ku-ik, J. Sheidin, S. Jbara, and D. Goren-Bar, "Supporting small groups in the museum by context-Aware communication services," in Proc. 12th ACM Int. Conf. Intell. User Inter., 2007, pp. 305-308.
36. S. Jones and E. O'Neill, "Context-Aware messaging: How personal, spatial and temporal constraints affect text-based communication," in Proc. 8th Int. Conf. Mobile Ubiquitous Multimedia, Nov. 2009, pp. 22-25.
37. Y. Bouzid, H. Harroud, M. Boulmalf, and A. Karmouch, "Context-based services discovery in mobile environments," in Proc. IEEE Int. Conf. Telecom, May 2009, pp. 13-18.
38. X. Su and T. M. Khoshgoftaar, "A survey of collaborative-ltering techniques," Adv. Artif. Intell., vol. 2009, Article ID 421425, Jan. 2009.
39. M. J. Pazzani and D. Billsus, "Content-based recommendation systems," in The Adaptive Web. Berlin Heidelberg, Germany: Springer-Verlag, 2007, pp. 325-341.
40. R. Burke, "Hybrid web recommender systems," in The Adaptive Web. Berlin Heidelberg, Germany: Springer-Verlag, 2007, pp. 377-408.
41. C.-C. Tuan, C.-F. Hung, and K.-W. Tseng, "A relational compound collaborative-ltering recommendation system," in Proc. Int. Conf. BWCCA, Oct. 2011, pp. 411-415.
42. Z. Gao and Y. Liang, "Improving the collaborative-ltering recommender system by using GPU," in Proc. IEEE Int. Conf. Cyber-Enabled Distrib. Comput. Knowl. Discovery, Oct. 2012, pp. 330-333.
43. S. K. Lee, Y. H. Cho, and S. H. Kim, "Collaborative-ltering with ordinal scale-based implicit ratings for mobile music recommendations," Inf. Sci., vol. 180, no. 11, pp. 2142-2155, 2010.
44. A. Felfernig and R. Burke, "Constraint-based recommender systems: Technologies and research issues," in Proc. 10th ACMInt. Conf. Electron. Commerce, Aug. 2008, Article No. 3.
45. E. C. Tappan and A. Felfernig, "Calculating decoy items in utilitybased recommendations," in Next-Generation Applied Intelligence (Lecture Notes in Computer Science). Berlin Heidelberg, Germany: Springer-Verlag, 2009, pp. 183-192.
46. G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-Art and possible extensions," IEEE Trans. Knowl. Data Eng., vol. 17, no. 6, pp. 734-749, Jun. 2005.
47. G. Tumas and F. Ricci, "Personalized mobile city transport advisory system," in Information and Communication Technologies in Tourism. New York, NY, USA: Springer-Verlag, 2009, pp. 173-183.
48. A. Felfernig, G. Friedrich, B. Gula, M. Hitz, T. Kruggel, G. Leitner, R. Melcher, D. Riepan, S. Strauss, E. Teppan, and O. Vitouch, "Persuasive recommendation: Serial position effects in knowledgebased recommender systems," in Lecture Notes in Computer Sci-ence, vol. 4744. Berlin Heidelberg, Germany: Springer-Verlag, 2007, pp. 283-294.
49. G. Adomavicius and A. Tuzhilin, "Context-Aware recommender systems," in Recommender Systems Handbook: A Complete Guide for Research Scientists and Practitioners, L. Rokach, B. Shapira, P. Kantor, and F. Ricci, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 217-253.
50. C. Sengstock and M. Gertz, "CONQUER: A system for context-Aware query suggestions," inProc. 20th ACM Int. Conf. Companion WWW, 2011, pp. 265-268.
51. S. Bagchi, "A fuzzy algorithm for dynamically adaptive multimedia streaming," ACM Trans. Multimedia Comput., Commun. Appl., vol. 7, no. 2, Article. No. 11, 2006.
52. H.-S. Park, J.-O. Yoo, and S.-B. Cho, "A context-Aware music recommendation system using fuzzy bayesian networks with utility theory," in Fuzzy Systems and Knowledge Discovery (Lecture Notes in Computer Science), vol. 4223, L. Wang, L. Jiao, G. Shi, X. Li, and J. Liu, Eds. Berlin Heidelberg, Germany: Springer-Verlag, 2006, pp. 970-979.
53. K.Verbert, N. Manouselis, X. Ochoa, M.Wolpers, H. Drachsler, I. Bosnic, and E. Duval, "Context-Aware recommender systems for learning: A survey and future challenges," IEEE Trans. Learn. Technol., vol. 5, no. 4, pp. 318-335, Dec. 2012.
54. F. Ricci, "Mobile recommender systems," Int. J. Inf. Technol. Tourism, vol. 12, no. 3, pp. 205-231, 2010.
55. G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin, "Incorporating contextual information in recommender systems using a multidimensional approach," ACM Trans. Inf. Syst., vol. 23, no. 1, pp. 103-145, 2005.
56. A. Brun, S. Castagnos, and A. Boyer, "Social recommendations: Mentor and leader detection to alleviate the cold-start problem in collaborative-ltering," in Social Network Mining, Analysis and Research Trends: Techniques and Applications. Hershey, PA, USA: IGI Global, 2011, pp. 270-290.
57. T. D. Pessemier, T. Deryckere, and L. Martens, "Extending the Bayesian classi-er to a context-Aware recommender system for mobile devices," in Proc. IEEE Int. Conf. ICIW, May 2010, pp. 242-247.
58. M. K. K. Devi and P. Venkatesh, "An improved collaborative recommender system," in Proc. IEEE 1st Int. Conf. Netw. Commun., Dec. 2009, pp. 386-391.
59. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl, "Evaluating collaborative-ltering recommender systems," in Proc. 27th Ann. Int. ACM SIGIR Conf. Res. Develop. Inf. Retr., 2004, pp. 1-47.
60. A. Gunawardana and G. Shani, "Evaluating recommendation systems," in Recommender Systems Handbook. F. Ricci, L. Rokach, B. Shpira, and P. B. Kantor, Eds. New York, NY, USA: Springer-Verlag, 2010, pp. 257-297.
61. D. E. Baz, "A self-Adaptive communication protocol with application to high performance peer-to-peer distributed computing," in Proc. 18th IEEE Euromicro Conf. Parallel, Distrib. Netw.-Based Process., Feb. 2010, pp. 327-333.
62. U. Lee, S. Jung, D.-K. Cho, A. Chang, J. Choi, and M. Gerla, "P2P content distribution to mobile bluetooth users," IEEE Trans. Veh. Technol., vol. 59, no. 1, pp. 356-367, Jan. 2010.
63. A. Bakker, E. Ogston, and M. Steen, "Collaborative Filtering Using Random Neighbours in peer-to-peer Networks," in Proc. 1st ACM Int. Workshop Complex Netw. Meet Inf. Knowl. Manag., Nov. 2009, pp. 67-74.
64. H. Chen, H. Jin, L. Chen, Y. Liu, and L.M. Ni, "Optimizing bloom-lter settings in peer-to-peer multikeyword searching," IEEE Trans. Knowl. Data Eng., vol. 24, no. 4, pp. 692-706, Apr. 2012.
65. N. Manouselis, H. Drachsler, R. Vuorikari, H. G. K. Hummel, and R. Koper, "Recommender systems in technology enhanced learning," in Recommender Systems Handbook: A Complete Guide for Research Scientists & Practitioners, L. Rokach, B. Shapira, P. Kantor, and F. Ricci, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 387-415.
66. F. Mödritscher, "Towards a recommender strategy for personal learning environments," Proc. Comput. Sci., vol. 1, no. 2, pp. 2775-2782, 2010.
67. J. Vassileva, "Toward social learning environments," IEEE Trans. Learn. Technol., vol. 1, no. 4, pp. 199-214, Oct./Dec. 2008.
68. K. Hummel and R. Koper, "Recommendations for learners are different: Applying memory-based recommender system techniques to lifelong learning," in Proc. 1st Workshop SIRTEL Exchange, 2007, pp. 18-26.
69. H. Drachsler, H. Hummel, and R. Koper, "Personal recommender systems for learners in lifelong learning networks: The requirements, techniques and model," Int. J. Learn. Technol., vol. 3, no. 4, pp. 404-423, 2008.
70. G. Beham, B. Kump, T. Ley, and S. Lindstaedt, "Recommending knowledgeable people in a work-integrated learning system," Proc. Comput. Sci., vol. 1, no. 2, pp. 2783-2792, 2010.
71. J. Broisin, M. Brut, V. Butoianu, F. Sedes, and P. Vidal, "A personalized recommendation framework based on CAM and document annotations," Proc. Comput. Sci., vol. 1, no. 2, pp. 2839-2848, 2010.
72. C. Yin, D. Dong, Y. Tabata, and H. Ogata, "Recommendation of helpers based on personal connections in mobile learning," in Proc. 7th IEEE Int. Conf. Wireless, Mobile Ubiquitous Technol. Educ., Mar. 2012, pp. 137-141.
73. H.-C. Chen, C.-C. Hsu, C.-H. Chang, and Y.-M. Huang, "Applying the technology acceptance model to evaluate the learning companion recommendation system on facebook," in Proc. 4th IEEE Int. Conf. Technol. Educ., Jul. 2012, pp. 160-163.
74. H. K. Kim, J. K. Kim, and Y. U. Ryun, "Personalized recommendation over a customer network for ubiquitous shopping," IEEE Trans. Services Comput., vol. 2, no. 2, pp. 140-151, Apr./Jun. 2009.
75. C. Zhu, K. Li, Q. Live, L. Shang, and R. P. Dick, "iScope: Personalized multi-modality image search for mobile devices," in Proc. 7th ACM Int. Conf. Mobile Syst., Appl. Services, 2009, pp. 277-290.
76. Y. Cui and S. Bull, "Context and Learner Modeling for the Mobile Foreign Language Learner," System, vol. 33, no. 2, pp. 353-367, 2005.
77. J. Yau and M. Joy, "A context-Aware and adaptive learning schedule framework for supporting learners' daily routines," in Proc. 2nd IEEE Int. Conf. Syst., Washington, DC, USA, Apr. 2007, pp. 31-37.
78. M. Kayaalp, T. Ozyer, and S. T. Ozyer, "Acollaborative and content based event recommendation system integrated with data collection scrapers and services at a social networking site," in Proc. IEEE Int. Conf. Adv. Social Netw. Anal. Mining, Jul. 2009, pp. 113-118.
79. E. B. Charrow, J. Ledlie, S. Teller, and T. Jaakkola, "Collaborative future event recommendation," in Proc. 19th ACM Int. Conf. Inf. Knowl. Manag., Toronto, ON, Canada, 2010, pp. 819-828.
80. J. Park, B. Charrow, D. Curtis, J. Battat, E. Minko, J. Hicks, S. Tellerand, and J. Ledlie, "Growing an organic indoor location system," in Proc. 8th ACM Int. Conf. Mobile Syst., Appl., Services, 2010, pp. 271-284.
81. D. Conry, Y. Koren, and N. Ramakrishnan, "Recommender systems for the conference paper assignment problem," in Proc. 3rd ACM Conf. Recommender Syst., 2009, pp. 357-360.
82. J. Rennie and N. Srebro, "Fast maximum margin matrix factorization for collaborative prediction," in Proc. 22nd Int. Conf. Mach. Learn., 2005, pp. 713-719.
83. B. Bai, J. Weston, D. Grangier, R. Collobert, K. Sadamasa, Y. Qi, C. Cortes, and M. Mohri, "Polynomial semantic indexing," in Advances in Neural Information Processing Systems, vol. 22. Cambridge, MA, USA: MIT Press, 2009, pp. 64-72.
84. A. Basso, M. Milanesio, A. Panisson, and G. Ruffo, "From recordings to recommendations: Suggesting live events in the DVR context," in Proc. ACM Workshop PRSAT, 4th ACM Conf. Recommender Syst., Sep. 2010, pp. 43-46.
85. D. Quercia, N. Lathia, F. Calabrese, G. Di Lorenzo, and J. Crowcroft, "Recommending social events from mobile phone location data," in Proc. IEEE 10th Int. Conf. Data Mining, Dec. 2010, pp. 971-976.
86. M. C. G. A. Cimino, B. Lazzerini, G. Castellano, and A. M. Fanelli, "Acollaborative situation-Aware scheme for mobile service recommendation," in Proc. 11th IEEE Int. Conf. Intell. Syst. Design Appl., Nov. 2011, pp. 130-135.
87. D. Vernon, G. Metta, and G. Sandini, "A survey of arti-cial cognitive systems: Implications for the autonomous development of mental capabilities in computational agents," IEEE Trans. Evol. Comput., vol. 11, no. 2, pp. 151-158, Apr. 2007.
88. P. Barron, "Using stigmergy to build pervasive computing environments," Ph.D. dissertation, Dept. Comput. Sci., Univ. Dublin, Trinity College, Dublin, Ireland, Oct. 2005.
89. P. M. P. Rosa, J. A. Dias, I. C. Lopes, J. J. P. C. Rogrigues, and K. Lin, "A ubiquitous mobile multimedia system for events agenda," in Proc. IEEE Conf. Wireless Commun. Netw., Mobile Wireless Netw., Apr. 2012, pp. 2103-2107.
90. M. Radenkovic and B. Wietrzyk, "Mobile ad hoc networking approach to detecting and querying events related to farm animals," in Proc. IEEE Int. Conf. Netw. Services, Jul. 2006, pp. 109-114.
91. Y. Huang,W. Chuang, and Y. Chang, "Enhanced interactivity in learning guide systems with RFID," in Proc. 1st IEEE Annu. RFID Eurasia, Sep. 2007, pp. 1-6.
92. D. Liu and M. Chang, "Recommending tourist routes to travelers according to their sequential wandering behaviors," in Proc. 10th IEEE Int. Symp. Pervas. Syst., Algorithm, Netw., Dec. 2009, pp. 350-355.
93. N. Seyff, F. Graf, and P. Grünbacher, "Using contextual information to guide on-site analysts," in Proc. 18th IEEE Int. Requirements Eng. Conf., Sep./Oct. 2010, pp. 397-398.
94. M. Kenteris, D. Gavalas, G. Pantziou, and G. Konstantopoulos, "Near-optimal personalized daily itineraries for a mobile tourist guide," in Proc. IEEE Symp. Comput. Commun., Jun. 2010, pp. 862-864.
95. F. Amato, A. Chianese, V. Moscato, A. Picariello, and G. Sperli, "SNOPS: A smart environment for cultural heritage applications," in Proc. 12th ACM Int. Workshop WIDM, New York, NY, USA, 2012, pp. 49-56.
96. P. Alabastro, M. Ang, R. D. Guzman, M. Muhiand, and M. Suarez, "MyMuseum: Integrating personalized recommendation and multimedia for enriched human-system interaction," in Proc. 6th IEEE Int. Conf. Digit. Content Multimedia Technol. Appl., Aug. 2010, pp. 421-426.
97. D. Weiÿ, M. Duchon, F. Fuchs, and C. Linnhoff-Popien, "Context-Aware personalization for mobile multimedia services," in Proc. ACM 6th Int. Conf. Adv. Mobile Comput. Multimedia, New York, NY, USA, 2008, pp. 267-271.
98. S. Jarvinen, J. Peltola, J. Lathi, and A. Sachinopoulou, "Multimedia service creation platform for mobile experience sharing," in Proc. 8th ACM Int. Conf. Mobile Ubiquitous Multimedia, New York, NY, USA, Nov. 2009, Article No. 6.
99. S. Boutemedjet and D. Ziou, "A graphical model for context-Aware visual content recommendation," IEEE Trans. Multimedia, vol. 10, no. 1, pp. 52-62, Jan. 2008.
100. Z. Yu, X. Zhou, D. Zhang, C.-Y. Chin, X.Wang, and J. Men, "Supporting context-Aware media recommendations for smartphones," IEEE Trans. Pervas. Comput., vol. 5, no. 3, pp. 68-75, Jul./Sep. 2006.
101. G. Marchionini, "Exploratory search: From-nding to understanding," Commun. ACM, vol. 49, no. 4, pp. 41-46, 2006.
102. G. Marchionin and R.W. White, "Information-seeking support systems," IEEE Comput., vol. 42, no. 3, pp. 30-32, Mar. 2009.
103. H. A. Tair, M. J. Zemerly, M. Al-Qutayri, and M. Leida, "Pro-Active multi-Agent recommender system for travelers," in Proc. IEEE Int. Conf. Internet Technol. Secured Trans., Dec. 2011, pp. 466-471.
104. O. Riva and S. Toivonen, "The DYNAMOS approach to support contextaware service provisioning in mobile environments," J. Syst. Softw., vol. 80, no. 12, pp. 1956-1972, 2007.
105. H. Thüs, M. A. Chatti, E. Yalcin, C. Pallasch, B. Kyryliuk, T. Mageramov, and U. Schroeder, "Mobile learning in context," Int. J. Technol. Enhance Learn., vol. 4, no. 5, pp. 332-344, 2012.
106. W. Woerndl, J. Huebner, R. Bader, and D. Gallego, "A model for proactivity in mobile, context-Aware recommender systems," in Proc. 5th ACM Conf. Recommender Syst., Chicago, IL, USA, 2011, pp. 273-276.
107. D. Gallego, W. Woerndl, and R. Bader, "A study on proactive delivery of restaurant recommendations for android smartphones," in Proc. Int. Workshop Personal. Mobile Appl., 5th ACM Int. Conf. Recommender Syst., Chicago, IL, USA, 2011, pp. 1-8.
108. W. Chen, L. Zhang, C. Chen, and J. Bu, "A hybrid phonic web news recommender system for pervasive access," in Proc. IEEE Int. Conf. Commun. Mobile Comput., Jan. 2009, pp. 122-126.
109. C. Liou and D. Liu, "Hybrid multiple channel-based recommendations for mobile commerce," in Proc. 43rd IEEE Hawaii Int. Conf. Syst. Sci., Jan. 2010, pp. 1-8.
110. M. Prangl, R. Bachlechner, and H. Hellwagner, "A hybrid recommender strategy for personalized utility-based cross-modal multimedia adaptation," in Proc. IEEE Int. Conf. Multimedia Expo, Jul. 2007, pp. 1707-1710.
111. L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci, "Context relevance assessment and exploitation in mobile recommender system," Pers. Ubiquitous Comput., vol. 16, no. 5, pp. 507-526, 2012.