Enabling personalization recommendation with weightedFP for text information retrieval based on user-focus

International Conference on Information Technology: Coding Computing, ITCC

Volumn 1, Issue , 2004, Pages 272-276

  Zhang, Zhenya ^a   Chen, Enhong ^a   Wang, Jin ^a   Wang, Xufa ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; INTERNET; KNOWLEDGE ENGINEERING; SEARCH ENGINES;

ASSOCIATION RULE MINING; INFORMATION FILTERING SYSTEM; TEXT INFORMATION RETRIEVAL;

INFORMATION RETRIEVAL;

EID: 3042635056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. ChiaHui, Chang, Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW, IEEE Trans. On Knowledge and Data Engineering, 1999, Vol.11, No.4, pp. 595-609.
2. Arwar,Item-Based collaborative filtering recommendation algorithms, Proceedings of the 10th International World Wide Web Conference (WWW10). 2001, pp. 285-295.
3. Sung Young Jung, A Formal Model for User Preference, 2002 IEEE International Conference on Data Mining (ICDM'02), pp. 235-243
4. C.H.Cai, Ada Fu W.C., Minging association rules with weighted items, In International Database Engineering and Application Symposium, 1998
5. J.Han,J.Pei and Y.Yin,Mining frequent patterns without candidate generation,In Proc.2000 ACM-SGIMOD Int.Conf. Management of Data,Dallas, TX,May 2000,pp. 1-12.