Measuring similarity of interests for clustering web-users

  title={Measuring similarity of interests for clustering web-users},
  author={Jitian Xiao and Yanchun Zhang and Xiaohua Jia and Tianzhu Li},
There has been an increased demand for understanding of web-users due to the web development and the increased number of webbased applications. Informative knowledge extracted from web user access patterns has been used for many applications, such as the prefetching of pages between clients and proxies. This paper presents an approach for measuring similarity of interests among web users, based on the interest items collected from web user's access logs. A matrix-based algorithm is then… CONTINUE READING
Highly Cited
This paper has 83 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 50 extracted citations

84 Citations

Citations per Year
Semantic Scholar estimates that this publication has 84 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-3 of 3 references

K n o w led g e Di scove ry f rom Users W e b Page Naviga t ion

  • C. Shahabi, A. M. Zarkesh, J. Adibi, V. Shah
  • IEEE RIDE'97,
  • 1997
Highly Influential
3 Excerpts

Proxy Caching Algor i thms

  • P. Cao, S. Irani, W Cost-AwareWW
  • Proc. o f the 1997 USENIX Symposium on Internet…
  • 1997
1 Excerpt

Character izing Browsing strategies in the Wor ld Wide Web

  • L. D. Cat ledge, J. E. P i tkow
  • Electronic Proc. o f the 3 re International W W W…
  • 1995
1 Excerpt

Similar Papers

Loading similar papers…