Testing and evaluating recommendation algorithms in internet of things

Journal of Ambient Intelligence and Humanized Computing

Volumn 7, Issue 6, 2016, Pages 889-900

  Mashal, Ibrahim ^a   Alsaryrah, Osama ^a   Chung, Tein Yaw ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Collaborative filtering; Hyper edge; Internet of Things; Internet of things recommender system; Recommender system; Tripartite graph

Indexed keywords

COLLABORATIVE FILTERING; GRAPHIC METHODS; INTERNET; RECOMMENDER SYSTEMS;

EMBEDDED COMPUTING; GRAPH-BASED MODELING; HYPER-EDGE; INTERNET OF THING (IOT); RECOMMENDATION ALGORITHMS; TECHNOLOGICAL REVOLUTION; THIRD-PARTY SERVICE PROVIDERS; TRIPARTITE GRAPHS;

INTERNET OF THINGS;

EID: 84991289614     PISSN: 18685137     EISSN: 18685145     Source Type: Journal    
DOI: 10.1007/s12652-016-0357-4     Document Type: Article

References (39)

1. Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of things: a survey on enabling technologies, protocols and applications. IEEE commun surv tutor 17(4):2347–2376. doi:10.1109/COMST.2015.2444095
2. Asin A (2011) Smart cities from libelium allows systems integrators to monitor noise, pollution, structural health and waste management. http://www.libelium.com/smart_cities/. Accessed Feb 2016
3. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54:2787–2805. doi:10.1016/j.comnet.2010.05.010
4. Bobadilla J, Ortega F, Hernando A, Gutiérrez A (2013) Recommender systems survey. Knowledge-Based Sys 46:109–132. doi:10.1016/j.knosys.2013.03.012
5. Burke R (2002) Hybrid recommender systems: survey and experiments. User Model User Adap Inter 12:331–370. doi:10.1023/A:1021240730564
6. Chung TY, Mashal I, Alsaryrah O, Huy V, Kuo WH, Agrawal DP (2013) Social web of things: a survey. In: Parallel and Distributed Systems (ICPADS), 2013 International Conference on, 15–18 Dec. 2013. pp 570–575. doi:10.1109/ICPADS.2013.102
7. Chung TY, Mashal I, Alsaryrah O, Chang CH, Hsu TH, Li PS, Kuo WH (2014) MUL-SWoT: a social web of things platform for internet of things application development. In: Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE, 1–3. pp 296–299. doi:10.1109/iThings.2014.53
8. Compton M et al (2012) The SSN ontology of the W3C semantic sensor network incubator group. Web Semant Sci Serv Agents World Wide Web 17:25–32. doi:10.1016/j.websem.2012.05.003
9. De S, Barnaghi P, Bauer M, Meissner S (2011) Service modelling for the internet of things. In: Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on, 18–21 Sept. 2011. pp 949–955
10. Fenza G, Loia V, Senatore S (2008) A hybrid approach to semantic web services matchmaking. Int J Approx Reason 48:808–828. doi:10.1016/j.ijar.2008.01.005
11. Fenza G, Furno D, Loia V (2012) Hybrid approach for context-aware service discovery in healthcare domain. J Comput Syst Sci 78:1232–1247. doi:10.1016/j.jcss.2011.10.011
12. Hamouda S, Wanas N (2011) PUT-Tag: personalized user-centric tag recommendation for social bookmarking systems. Soc Netw Anal Min 1:377–385. doi:10.1007/s13278-011-0028-6
13. Hotho A, Jäschke R, Schmitz C, Stumme G (2006) Information retrieval in folksonomies: search and ranking. In: Sure Y, Domingue J (eds) The semantic web: research and applications, vol 4011. Lecture notes in computer science. Springer, Berlin, pp 411–426. doi:10.1007/11762256_31
14. Janowicz K and Compton M (2010) The stimulus-sensor-observation ontology design pattern and its integration into the semantic sensor network ontology. Paper presented at the Proceedings of the 3rd International Conference on Semantic Sensor Networks, Vol 668. Shanghai
15. Jäschke R, Marinho L, Hotho A, Schmidt-Thieme L, Stumme G (2007) Tag Recommendations in folksonomies. In: Kok J, Koronacki J, Lopez de Mantaras R, Matwin S, Mladenič D, Skowron A (eds) Knowledge discovery in databases: PKDD 2007, vol 4702. Lecture Notes in Computer Science. Springer, Berlin, pp 506–514. doi:10.1007/978-3-540-74976-9_52
16. Jäschke R, Marinho LB, Hotho A, Schmidt-Thieme L, Stumme G (2008) Tag recommendations in social bookmarking systems. Ai Commun 21:231–247
17. Klusch M, Fries B, Sycara K (2009) OWLS-MX: a hybrid semantic web service matchmaker for OWL-S services. Web Semany Sci Serv Agents World Wide Web 7:121–133. doi:10.1016/j.websem.2008.10.001
18. Lops P, de Gemmis M, Semeraro G (2011) Content-based recommender systems: state of the art and trends. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender systems handbook. Springer, Berlin, pp 73–105
19. Lops P, de Gemmis M, Semeraro G, Musto C, Narducci F (2013) Content-based and collaborative techniques for tag recommendation: an empirical evaluation. J Intell Inf Syst 40:41–61. doi:10.1007/s10844-012-0215-6
20. Lu J, Wu D, Mao M, Wang W, Zhang G (2015) Recommender system application developments: a survey. Decis Support Syst 74:12–32. doi:10.1016/j.dss.2015.03.008
21. Lü L, Medo M, Yeung CH, Zhang YC, Zhang ZK, Zhou T (2012) Recommender systems. Phys Reports 519:1–49. doi:10.1016/j.physrep.2012.02.006
22. Marinho L, Schmidt-Thieme L (2008) Collaborative tag recommendations. In: Preisach C, Burkhardt H, Schmidt-Thieme L, Decker R (eds) Data analysis, machine learning and applications. Studies in classification, data analysis, and knowledge organization. Springer, Berlin, pp 533–540. doi:10.1007/978-3-540-78246-9_63
23. Martin D et al. (2005) Bringing semantics to web services: the OWL-S approach. In: Cardoso J, Sheth A (eds) Semantic web services and web process composition: First International Workshop, SWSWPC 2004, San Diego, CA, USA, July 6, 2004, Revised Selected Papers. Springer, Heidelberg, pp 26–42. doi:10.1007/978-3-540-30581-1_4
24. Mashal I, Alsaryrah O, Chung TY, Yang CZ, Kuo WH, Agrawal DP (2015a) Choices for interaction with things on Internet and underlying issues. Ad Hoc Netw 28:68–90. doi:10.1016/j.adhoc.2014.12.006
25. Mashal I, Chung TY, Alsaryrah O (2015) Toward service recommendation in internet of things. In: Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on, 7–10 July 2015. pp 328–331. doi:10.1109/ICUFN.2015.7182559
26. Milicevic A, Nanopoulos A, Ivanovic M (2010) Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions. Artif Intell Rev 33:187–209. doi:10.1007/s10462-009-9153-2
27. Pazzani M and Billsus D (2007) Content-based recommendation systems. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The Adaptive Web, vol 4321. Lecture Notes in Computer Science. Springer, Berlin, pp 325–341. doi:10.1007/978-3-540-72079-9_10
28. Rawashdeh M, Kim HN, Alja’am J, El Saddik A (2013) Folksonomy link prediction based on a tripartite graph for tag recommendation. J Intell Inf Syst 40:307–325. doi:10.1007/s10844-012-0227-2
29. Rendle S and Schmidt-Thieme L (2010) Pairwise interaction tensor factorization for personalized tag recommendation. Paper presented at the Proceedings of the third ACM international conference on Web search and data mining, New York
30. Sarwar B, Karypis G, Konstan J, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. Paper presented at the Proceedings of the 10th international conference on World Wide Web, Hong Kong
31. Su X, Khoshgoftaar TM (2009) A survey of collaborative filtering techniques. Adv Artif Intell 2009:1–19. doi:10.1155/2009/421425
32. Trattner C, Kowald D, Lacic E (2015) TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms SIGWEB Newsl:1–10 doi:10.1145/2719943.2719946
33. Wetzker R, Zimmermann C, Bauckhage C, Albayrak S (2010) I tag, you tag: translating tags for advanced user models. Paper presented at the Proceedings of the third ACM international conference on Web search and data mining, New York, New York
34. Xue GR, Lin C, Yang Q, Xi W, Zeng HJ, Yu Y, Chen Z (2005) Scalable collaborative filtering using cluster-based smoothing. Paper presented at the Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, Salvador
35. Yang X, Guo Y, Liu Y, Steck H (2014) A survey of collaborative filtering based social recommender systems. Comput Commun 41:1–10. doi:10.1016/j.comcom.2013.06.009
36. Yao L, Sheng QZ, Ngu AHH, Ashman H, Li X (2014) Exploring recommendations in internet of things. Paper presented at the Proceedings of the 37th international ACM SIGIR conference on Research; development in information retrieval, Gold Coast, Queensland
37. Yao L, Sheng QZ, Ngu AH, Li X (2016) Things of interest recommendation by leveraging heterogeneous relations in the internet of things. ACM Trans Internet Technol (to appear)
38. Zhang ZK, Zhou T, Zhang YC (2011) Tag-Aware recommender systems: a state-of-the-art survey. J Comput Sci Technol 26:767–777. doi:10.1007/s11390-011-0176-1
39. Zhou X, Xu Y, Li Y, Josang A, Cox C (2012) The state-of-the-art in personalized recommender systems for social networking. Artif Intell Rev 37:119–132. doi:10.1007/s10462-011-9222-1