Mining customer product ratings for personalized marketing

@article{Cheung2003MiningCP,
  title={Mining customer product ratings for personalized marketing},
  author={William Kwok-Wai Cheung and James T. Kwok and Martin H. C. Law and Kwok Ching Tsui},
  journal={Decision Support Systems},
  year={2003},
  volume={35},
  pages={231-243}
}
With the increasing popularity of Internet commerce, a wealth of information about the customers can now be readily acquired on-line. An important example is the customers’ preference ratings for the various products offered by the company. Successful mining of these ratings can thus allow the company’s direct marketing campaigns to provide automatic product recommendations. In general, these recommender systems are based on two complementary techniques. Content-based systems match customer… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 97 extracted citations

Improving electronic customers ' profile in recommender systems using data mining techniques

Mohammad Julashokria, Mohammad Fathian, Mohammad Reza Gholamiana, Ahmad Mehrbodb
2011
View 5 Excerpts
Highly Influenced

Making it Personal: How Personalization Affects Trust Over Time

Proceedings of the 38th Annual Hawaii International Conference on System Sciences • 2005
View 3 Excerpts
Highly Influenced

Link Us if You Can: Enabling Unlinkable Communication on the Internet

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) • 2018
View 2 Excerpts

References

Publications referenced by this paper.
Showing 1-10 of 46 references

Similar Papers

Loading similar papers…