The 3a personalized, contextual and relation-based recommender system

Journal of Universal Computer Science

Volumn 16, Issue 16, 2010, Pages 2179-2195

  El Helou, Sandy ^a   Salzmann, Christophe ^a   Gillet, Denis ^a  

^a EPFL   (Switzerland)

Author keywords

Algorithms; Cscl; Cscw; Design; Pagerank; Recommender systems; Trust

Indexed keywords

EID: 78649972487     PISSN: 0958695X     EISSN: 09486968     Source Type: Journal    
DOI: None     Document Type: Article

References (39)

1. Anderson, M., Ball, M., Boley, H., Greene, S., Howse, N., Lemire, D., McGrath, S.: "RACOFI: a Rule-Applying Collaborative Filtering System"; Proc. IEEE/WIC COLA'03, NRC 46507,Halifax, Canada (2003)
2. Avancini, H., Candela, L., Straccia, U.: "Recommenders in a personalized, collaborative digital library environment" Journal of Intelligent Information Systems, 28, 3 (2007), 253-283
3. Ben-Shimon, D., Tsikinovsky, A., Rokach, L., Meisles, A., Shani, G., Naamani, L.: "Recommender System from Personal Social Networks"; Advances in Intelligent Web Mastering, 43 (2007), 47-55
4. Borgatti, S.P., Cross, R. ".A Relational View of Information Seeking and Learning in Social Networks"; Management Science Archive, 49, 4 (2003), 432-445
5. Burch S.: "The Information Society / the Knowledge Society" In Word Matters: multicultural perspectives on information societies; C & F Éditions, Brussels (2005)
6. Dey, A. K.: "Understanding and Using Context"; Personal and Ubiquitous Computing, 5, 1 (2001), 4-7.
7. Drachsler, H., Hummel, H., Koper, R.: "Navigation support for learners in informal learning environments" Proc. Recommender systems, ACM, Lausanne (2009), 303-306
8. El Helou, S.; Gillet, D.; Salzmann, C.; and Sire, S.: "The 3A Contextual Ranking System: Simultaneously Recommending Actors, Assets, and Group Activities"; Proc. The third ACM Conference on Recommender Systems (RecSys'09),ACM, New York (2009), 373-376
9. El Helou S., Li S., Gillet, D.: The 3A Interaction Model: Towards Bridging the Gap between Formal and Informal Learning; Proc. The third International Conference on Advances in Computer-Human Interactions (ACHI'10),IEEE, St. Martin (2010), 179-184
10. Fogaras, D., Rácz, B., Csalogány, K., Sarlós, T.: "Towards Scaling Fully Personalized PageRank: Algorithms, Lower Bounds, and Experiments"; Internet Mathematics. 2, 3 (2007), 333-358
11. Geyer, W., Dugan, C., Millen, D.R, Muller, M., Freyne, J.: "Recommending topics for self-descriptions in online user profiles"; Proc. The ACM Conference on Recommender Systems (RecSys '08),ACM, New York (2008), 59-66
12. Grudin, J. Why CSCW applications fail: problems in the design and evaluation of organizational interfaces Proc. The 1988 ACM Conference on Computer- Supported Cooperative Work (CSCW '88), ACM, New York (1998), 85-93
13. Gulli, A., Cataudella, S., Foschini, L. "TC-SocialRank: Ranking the Social Web."; Proc. The 6th international Workshop on Algorithms and Models For the Web-Graph, LCNS 5427, Springer, Barcelona (2009), 143-154
14. Halverson C.: "Activity theory and distributed cognition: or what does CSCW need to do with theories?"; Computer Supported Cooperative Work, 11, 1(2002), 243-267
15. Haveliwala, T., Kamvar, S., Jeh, G.: "An Analytical Comparison of Approaches to Personalizing PageRank"; Technical Report. Stanford, US (2003). Retrieved April 8, 2009 from http://infolab.stanford.edu/~taherh/papers/comparison.ps
16. Heylighen, F. "Change and information overload: negative effects"; Principia Cybernetica Web. Retrieved May 26, 2009 from: http://pespmc1.vub.ac.be/CHINNEG.html
17. Hotho, A., Jäschke, R., Schmitz, C., Stumme G. 2006.: "FolkRank: A Ranking Algorithm for Folksonomies"; Proc. Workshop on Information Retrieval (FGIR), Germany (2006)
18. Im, I., Hars, A Does a one-size recommendation system fit all? The effectiveness of collaborative filtering based recommendation systems across different domains and search modes.ACM Trans. Information Systems, 26,1 (2007),4
19. Jamali, M., Ester, M.: "Using a trust network to improve top-N recommendation"; Proc. The third ACM Conference on Recommender Systems (RecSys '09), ACM, New York (2009), 181-188
20. Jeh, G., Widom, J.Scaling personalized web search.Proc. ACM World Wide Web Conference, ACM, New York (2003), 271-279
21. Kim, H.-N., Ji, A.-T., Kim, H.-J., Jo, G.-S.Error-Based Collaborative Filtering Algorithm for Top-N Recommendation Advances in Data and Web Management, 594-605
22. Koper, R., Tattersall, C.New directions for lifelong learning using network technologies British Journal of Educational Technology, 35, 6 (2004), 689-700
23. Langville, A.N., Meyer C.D.Deeper Inside PageRank Internet Mathematics, 1,3 (2003), 335-380
24. Li, L., Muller, M. J., Geyer, W., Dugan, C., Brownholtz, B., Millen, D. R.: "Predicting individual priorities of shared activities using support vector machines"; Proc. The sixteenth ACM Conference on Conference on Information and Knowledge Management (CIKM '07), ACM, New York (2007), 515-524
25. Manouselis N., Vuorikari, R., Van Assche, F.: "Simulated analysis of MAUT collaborative filtering for learning resource recommendation"; Proc. Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL), 2nd European Conference on Technology Enhanced Learning (EC-TEL'07), Crete, Greece (2007)
26. Massa, P., Avesani, P.:"Trust-aware Recommender Systems"; Proc. Recommender systems, ACM,Minneapolis (2007), 17 - 24
27. Page, L., Brin, S., Motwani, R., Winograd, T.: "The PageRank citation ranking: Bringing order to the Web"; Technical report, Stanford Digital Library Technologies Project (1998)
28. Rafaeli S., Barak M., Dan-Gur Y., Toch E.: "A Web-based environment for learning, assessing and knowledge sharing in communities": Computers and Education, 43 3 (2004), 273-289
29. Ram S.: "Intelligent Agents and the World Wide Web: Fact or Fiction?"; Journal of database management, 12(2001), 1, 46-47
30. Recker, M., Walker, A., Lawless, K.: "What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education"; Instructional Science, 31, 4 (2003), 299-316
31. Shen L., Shen R.: "Learning Content Recommendation Service based on Simple Sequencing Specification"; Proc. International Conference on Web-Based Learning, LNCS 3143, Beijing (2004), 363-370
32. Symeonidis, P., Nanopoulos, A., Manolopoulos, Y.: "Tag recommendations based on tensor dimensionality reduction"; Proc. The 2008 ACM Conference on Recommender Systems (RecSys'08), ACM, New York (2008), NY, 43-50
33. Tang, T., McCalla, G.: "A Multidimensional Paper Recommender: Experiments and Evaluations"; Internet Computing, IEEE, 13, 4 (2009), 34-41
34. Vuorikari, R., Berendt, B.: "Study on Contexts in Tracking Usage and Attention Metadata in Multilingual Technology Enhanced Learning"; Proc. Exploitation of Usage and Attention Metadata Workshop, Lübeck (2009)
35. Vuorikari, R., Manouselis, N., Duval, E.Metadata for social recommendations: storing, sharing and reusing evaluations of learning resources Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively, Goh, D. and Foo S. (Eds.), Idea Group Inc.87-107
36. Walter, F. E., Battiston, S., Schweitzer, F.: "Personalised and dynamic trust in social networks". Proc. The third ACM Conference on Recommender Systems (RecSys '09), ACM, New York, NY(2009), 197-204
37. Wang, X., Yuan, F., Qi, L.: "Recommendation in Education Portal by Relation Based Importance Ranking". Proc. 7th international Conference on Advances in Web Based Learning, LCNS 5145, Springer, Jinhua (2008), 39-48
38. White, S. Smyth, P.: "Algorithms for estimating relative importance in networks"; Proc. Ninth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (KDD '03), ACM, New York (2003), 266-275
39. Xi, W., Zhang, B., Chen, Z., Lu, Y., Yan, S., MA, W.Y.: "Link fusion: a unified link analysis framework for multi-type interrelated data objects"; Proc. 13th international Conference on World Wide Web, ACM, New York(2004), 319-327