e-Business - An Online Shop in the Area of Technical and Scientific Publications

José António S. Pereira, Paulo Pita, Élsio Santos, Joaquim Filipe

2012

Abstract

The explosive growth of the world-wide-web and the emergence of e-commerce enabled the development of recommender systems that became to an independent emerged research area in the mid-1990s. The recommender systems are used to solve the prediction problem or the top-N recommendation problem. However, recommendation systems feel ever more the pressure related to a change on users habits. In order to capture users interests it is necessary a representation of information about an individual user. Our Online Shop in the Area of Technical and Scientific Publications intends to add the best of the user-based collaborative filtering and content-based collaborative filtering methodologies into a single hybrid methodology in order to answer some issues raised about new users and new items added to the recommender system. And also try to combine inference and prediction to assist the user in finding content that is of personal interest or even combine data mining techniques to provide recommendations.

References

  1. Adomavicius, G., Tuzhilin, A.: Using Data Mining Methods to Build Customer Profiles. IEEE Computer 34(2) (2001)
  2. Adomavicius, A., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: “Incorporating Contextual Information in Recommender Systems Using a Multidimensional Approach,” ACM Trans. Information Systems, vol. 23, no. 1, Jan. (2005)
  3. Adomavicius, G., Tuzhilin, A.: “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions”, vol. 17, no. 6, pp. 734-749, (2005)
  4. Balabanovic, M., Shoham, Y.:'Fab: Content-Based, Collaborative Recommendation,78 Comm. ACM, vol. 40, no. 3, pp. 66-72, (1997)
  5. Deshpande, M., Karypis, G.: “Item-Based Top-N Recommendation Algorithms”, ACM Trans. Info. Systems, vol. 22, no. 1, pp. 143-177, (2004)
  6. Linden, G., Smith, B., York, J.:“Amazon.com Recommendations: Item-to-Item Collaborative Filtering,” IEEE Internet Computing, Jan./Feb. 2003.
  7. Oard, D. W., Kim, J.: Implicit feedback for recommender systems. In Recommender Systems. Papers from 1998 Workshop. Technical Report WS-98-08. AAAI Press (1998)
  8. Patel, A., Balakrishnan, A.: Generic framework for recommendation system using collective intelligence - International Conference for Internet Technology and Secured Transactions, (2009)
  9. Schafer, J. B., Konstan, J. and Riedl, J.: 'Recommender Systems in E-Commerce'. In: EC 7899: Proceedings of the First ACM Conference on Electronic Commerce, Denver, CO, pp. 158-166. (1999)
  10. Schiaffino, S., Amandi, A.: M. Bramer (Ed.): Artificial Intelligence, LNAI 5640, pp. 193 - 216, 2009. © Springer-Verlag Berlin Heidelberg (2009)
  11. Wang, J., de Vries, A. P. M., Reinders, J. T., “Unifying user-based and item-based collaborative filtering approaches by similarity fusion”, In SIGIR 7806: Proc. of the 29th annual int'l ACM SIGIR Conf. on R&D in information retrieval , pp. 501-508 (2006)
  12. Zukerman, I., Albrecht, D.: Predictive Statistical Models for User Modeling. User Modeling and User-Adapted Interaction 11(1-2), 5-18 (2001)
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Paper Citation


in Harvard Style

António S. Pereira J., Pita P., Santos É. and Filipe J. (2012). e-Business - An Online Shop in the Area of Technical and Scientific Publications . In Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems - Volume 1: ICE-B, (ICETE 2012) ISBN 978-989-8565-23-5, pages 289-293. DOI: 10.5220/0004163402890293


in Bibtex Style

@conference{ice-b12,
author={José António S. Pereira and Paulo Pita and Élsio Santos and Joaquim Filipe},
title={e-Business - An Online Shop in the Area of Technical and Scientific Publications},
booktitle={Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems - Volume 1: ICE-B, (ICETE 2012)},
year={2012},
pages={289-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004163402890293},
isbn={978-989-8565-23-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems - Volume 1: ICE-B, (ICETE 2012)
TI - e-Business - An Online Shop in the Area of Technical and Scientific Publications
SN - 978-989-8565-23-5
AU - António S. Pereira J.
AU - Pita P.
AU - Santos É.
AU - Filipe J.
PY - 2012
SP - 289
EP - 293
DO - 10.5220/0004163402890293