HyRec: Leveraging browsers for scalable recommenders

Proceedings of the 15th International Middleware Conference, Middleware 2014

Volumn , Issue , 2014, Pages 85-96

  Boutet, Antoine ^a   Frey, Davide ^a   Guerraoui, Rachid ^b   Kermarrec, Anne Marie ^a   Patra, Rhicheek ^b  

^a INRIA   (France)

^b EPFL   (Switzerland)

Author keywords

Collaborative filtering; Personalization; Recommendation systems

Indexed keywords

COST EFFECTIVENESS; MIDDLEWARE; RECOMMENDER SYSTEMS; WEB BROWSERS;

BANDWIDTH CONSUMPTION; CLOUD-BASED; CONTENT PROVIDERS; COST EFFECTIVE; OPERATION COST; PERSONALIZATIONS; SCALABLE SYSTEMS; USER PROFILE;

COLLABORATIVE FILTERING;

EID: 84920484024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2663165.2663315     Document Type: Conference Paper

References (52)

1. Antutu. http://www. antutu. net.
2. Apache http server benchmarking tool. http://httpd. apache. org/docs/2. 2/programs/ab. html.
3. Aws ec2 instances and pricing. http://aws. amazon. com/ec2.
4. Digg. http://digg. com.
5. Hadoop. http://hadoop. apache. org.
6. Http archive. http://httparchive. org.
7. Hyrec. http://gossple2. irisa. fr/-aboutet/hyrec.
8. Jackson. http://jackson. codehaus. org.
9. Jetty. http://www. eclipse. org/jetty.
10. jquery. http://jquery. com.
11. Mahout. http://mahout. apache. org.
12. Movielens. http://www. grouplens. org/node/73.
13. Seti@home. http://setiathome. berkeley. edu.
14. Stress: A simple workload generator for linux. http: //weather. ou. edu/-apw/projects/stress.
15. S. Agarwal, B. Mozafari, A. Panda, H. Milner, S. Madden, and I. Stoica. Blinkdb: queries with bounded errors and bounded response times on very large data. In EuroSys, 2013.
16. K. Ali and W. van Stam. Tivo: making show recommendations using a distributed collaborative filtering architecture. In KDD, 2004.
17. L. Ardissono, A. Goy, G. Petrone, and M. Segnan. A multi-agent infrastructure for developing personalized web-based systems. ACM TOIT, 2005.
18. R. Baraglia, P. Dazzi, M. Mordacchini, and L. Ricci. A peer-to-peer recommender system for self-emerging user communities based on gossip overlays. Journal of Computer and System Sciences, 79(2), 2013.
19. M. Bertier, D. Frey, R. Guerraoui, A. M. Kermarrec, and V. Leroy. The gossple anonymous social network. In Middleware, 2010.
20. J. Bipin. Multithreading in web pages using web workers. In HTML5 Programming for ASP. NET Developers. Apress, 2012.
21. A. Boutet, D. Frey, R. Guerraoui, A. Jégou, and A.-M. Kermarrec. WhatsUp Decentralized Instant News Recommender. In IPDPS, 2013.
22. M. Brand. Fast online svd revisions for lightweight recommender systems. In SIAM ICDM, 2003.
23. J. Canny. Collaborative filtering with privacy via factor analysis. In SIGIR, 2002.
24. Y. Chen, S. Alspaugh, D. Borthakur, and R. Katz. Energy efficiency for large-scale mapreduce workloads with significant interactive analysis. In EuroSys, 2012.
25. A. S. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative filtering. In WWW, 2007.
26. J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. Commun. ACM, 2008.
27. E. Diaz-Aviles, L. Drumond, L. Schmidt-Thieme, and W. Nejdl. Real-time top-n recommendation in social streams. In RecSys, 2012.
28. W. Dong, C. Moses, and K. Li. Efficient k-nearest neighbor graph construction for generic similarity measures. In WWW, 2011.
29. C. Dwork. Differential privacy: A survey of results. In TAMC, 2008.
30. M. D. Ekstrand, J. T. Riedl, and J. A. Konstan. Collaborative Filtering Recommender Systems. Now Publishers, 2011.
31. A. Ene, S. Im, and B. Moseley. Fast clustering using mapreduce. In KDD, 2011.
32. R. Gemulla, E. Nijkamp, P. J. Haas, and Y. Sismanis. Large-scale matrix factorization with distributed stochastic gradient descent. In KDD, 2011.
33. R. Grover and M. J. Carey. Extending map-reduce for efficient predicate-based sampling. In ICDE, 2012.
34. J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In SIGIR, 1999.
35. Márk Jelasity, Spyros Voulgaris, Rachid Guerraoui, Anne-Marie Kermarrec, and Maarten van Steen. Gossip-based peer sampling. ACM TCS, 25(3), 2007.
36. R. Khoussainov, X. Zuo, and N. Kushmerick. Grid-enabled weka: A toolkit for machine learning on the grid. In ERCIM News, 2004.
37. J. J. Levandoski, M. Sarwat, A. Eldawy, and M. F. Mokbel. Lars: A location-aware recommender system. In ICDE, 2012.
38. G. Linden, B. Smith, and J. York. Amazon. com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 2003.
39. Christopher D. Manning and Hinrich Schütze. Foundations of Statistical Natural Language Processing. MIT Press, Cambridge, MA, USA, 1999.
40. Y. Mao, R. Morris, and M. F. Kaashoek. Optimizing mapreduce for multicore architectures. Technical Report MIT-CSAIL-TR-2010-020, MIT, 2010.
41. D. Meisner, C. M. Sadler, L. A. Barroso, W. D. Weber, and T. F. Wenisch. Power management of online data-intensive services. SIGARCH Comput. Archit. News, 2011.
42. B. N. Miller, J. A. Konstan, and J. Riedl. Pocketlens: Toward a personal recommender system. ACM TOIS, 2004.
43. A. Narayanan and V. Shmatikov. How to break anonymity of the netflix prize dataset. CoRR, 2007.
44. A. Narayanan and V. Shmatikov. De-anonymizing social networks. In SP, 2009.
45. Jia P. and Dinesh M. Bi-level locality sensitive hashing for k-nearest neighbor computation. In ICDE, 2012.
46. C. Ranger, R. Raghuraman, A. Penmetsa, G. Bradski, and C. Kozyrakis. Evaluating mapreduce for multi-core and multiprocessor systems. In HPCA, 2007.
47. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In CSCW, 1994.
48. D. Rosaci, G. M. L. Sarné, and S. Garruzzo. Muaddib: A distributed recommender system supporting device adaptivity. ACM TOIS, 2009.
49. X. Su and T. M. Khoshgoftaar. A survey of collaborative filtering techniques. Adv. in Artif. Intell., 2009.
50. S. Voulgaris and M. v. Steen. Epidemic-style management of semantic overlays for content-based searching. In Euro-Par, 2005.
51. N. Zeilemaker, M. Capota, A. Bakker, and J. Pouwelse. Tribler: P2p media search and sharing. In MM, 2011.
52. S. Zhang, G. Wu, G. Chen, and L. Xu. On building and updating distributed lsi for p2p systems. In ISPA, 2005.