论文信息 - Recommendation as Classification: Using Social and Content-Based Information in Recommendation - 字舞流文

Recommendation as Classification: Using Social and Content-Based Information in Recommendation

Methionine5-enkephalin sulfoxides and sulfones having agonist activity at opiate receptors are disclosed herein. These sulfoxides and sulfones are useful as analgesics, non-addicting narcotic antagonists and anti-diarrheal agents.

William W. Cohen | Haym Hirsh | Chumki Basu | H. Hirsh | C. Basu

[1] G. Meek. Mathematical statistics with applications , 1973 .

[2] David D. Lewis,et al. Evaluating Text Categorization I , 1991, HLT.

[3] Ken Lang,et al. NewsWeeder: Learning to Filter Netnews , 1995, ICML.

[4] William W. Cohen. Fast Effective Rule Induction , 1995, ICML.

[5] Pattie Maes,et al. Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[6] William W. Cohen. Fast Eeective Rule Induction , 1995 .

[7] Mark Rosenstein,et al. Recommending and evaluating choices in a virtual community of use , 1995, CHI '95.

[8] Michael J. Pazzani,et al. Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.

[9] William W. Cohen. Learning Trees and Rules with Set-Valued Features , 1996, AAAI/IAAI, Vol. 1.

[10] Yoav Shoham,et al. Content-Based, Collaborative Recommendation. , 1997 .

[11] Yoav Shoham,et al. Fab: content-based, collaborative recommendation , 1997, CACM.

[12] Joshua Alspector,et al. Comparing feature-based and clique-based user models for movie selection , 1998, DL '98.

[13] K. Kafadar,et al. Statistics: Concepts and Controversies , 1980 .