A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services

@article{Wu2015AFP,
  title={A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services},
  author={Dianshuang Wu and Guangquan Zhang and Jie Lu},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2015},
  volume={23},
  pages={29-43}
}
The Web creates excellent opportunities for businesses to provide personalized online services to their customers. Recommender systems aim to automatically generate personalized suggestions of products/services to customers (businesses or individuals). Although recommender systems have been well studied, there are still two challenges in the development of a recommender system, particularly in real-world B2B e-services: (1) items or user profiles often present complicated tree structures in… CONTINUE READING
Highly Cited
This paper has 51 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

52 Citations

0102020142015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 52 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 48 references

Similar Papers

Loading similar papers…