Others Also Use: A Robust Recommender System for Scientific Libraries-Reference-Cited by-同舟云学术

Others Also Use: A Robust Recommender System for Scientific Libraries

Published:2003 Issue: Volume: Page:113-125
ISSN:0302-9743
Container-title:Research and Advanced Technology for Digital Libraries
language:
Short-container-title:

Author:

Geyer-Schulz Andreas,Neumann Andreas,Thede Anke

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-45175-4_12

Reference30 articles.

1. Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Buneman, P., Jajodia, S. (eds.) Proc. ACM SIGMOD Int. Conf. on Management of Data, Washington, D.C., USA, vol. 22, ACM Press, New York (1993)

2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proc. 20th Very Large Databases Conf., Santiago, Chile, September 1994, pp. 487–499 (1994)

3. Ansari, A., Essegaier, S., Kohli, R.: Internet recommendation systems. Journal of Marketing Research 37, 363–375 (2000)

4. Lecture Notes in Computer Science;A. Apps,2002

5. Aumann, Y., Lindell, Y.: A statistical theory for quantitative association rules. In: Chaudhuri, U., Madigan, D. (eds.) Proc. 5th ACM SIGKDD int. conference on Knowledge Discovey and Data Mining, San Diego, California, pp. 261–270. ACM press, New York (1999)

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems;Knowledge and Information Systems;2019-01-05

2. Research-paper recommender systems: a literature survey;International Journal on Digital Libraries;2015-07-26

3. Extending Term Suggestion with Author Names;Theory and Practice of Digital Libraries;2012

4. Recommender Services in Scientific Digital Libraries;Studies in Computational Intelligence;2008

5. Digital libraries;Annual Review of Information Science and Technology;2007