Publication statistics

Pub. period:2004-2008
Pub. count:5
Number of co-authors:8



Co-authors

Number of publications with 3 favourite co-authors:

Saravadee Sae Tan:4
Gan Keng Hoon:4
Phang Keat Keong:2

 

 

Productive colleagues

Tang Enya Kong's 3 most productive colleagues in number of publications:

Saravadee Sae Tan:5
Gan Keng Hoon:5
Phang Keat Keong:2
 
 
 
Jul 29

There is an old English folk saying that goes, "If you can't stand the heat, get out of the kitchen." I have a different approach: Do something about the heat. The folk saying would have us accept the poor designs of the world. Why? After all, if people were responsible for the "heat" in the first place, then people should be able to do something about it. Is the kitchen too hot? Redesign it.

-- Don Norman

 
 

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Tang Enya Kong

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Publications by Tang Enya Kong (bibliography)

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2008
 
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Gan, Keng Hoon, Keong, Phang Keat, Tan, Saravadee Sae and Kong, Tang Enya (2008): Minexml: bridging unstructured query with structured resources via mediated query. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008. p. 879.

2006
 
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Tan, Saravadee Sae, Hoon, Gan Keng and Kong, Tang Enya (2006): A Lazy Approach for Category Model Construction Using Training Texts. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 1005-1011.

 
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Hoon, Gan Keng, Keong, Phang Keat and Kong, Tang Enya (2006): A Semantic Learning Approach for Mapping Unstructured Query to Web Resources. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 494-497.

2004
 
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Tan, Saravadee Sae, Hoon, Gan Keng, Kong, Tang Enya, Lin, Cheong Sook, Lin, Chan Siew and Ying, Foo Wen (2004): MICE: Aggregating and Classifying Meta Search Results into Self-Customized Categories. In: 2004 IEEE/WIC/ACM International Conference on Web Intelligence WI 2004 20-24 September, 2004, Beijing, China. pp. 771-772.

 
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Tan, Saravadee Sae, Hoon, Gan Keng, Kong, Tang Enya and Yong, Chan Huah (2004): MICE-f: Financial Reviews Analysis using Category Model. In: Yao, Jingtao, Raghavan, Vijay V. and Wang, G. Y. (eds.) Proceedings of the 2nd International Workshop on Web-based Support Systems September 20, 2004, Beijing, China. pp. 142-148.

 
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Changes to this page (author)

30 May 2009: Modified
30 May 2009: Modified
30 May 2009: Modified
30 May 2009: Modified
08 Apr 2009: Added

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Page maintainer: The Editorial Team
URL: http://www.interaction-design.org/references/authors/tang_enya_kong.html

Publication statistics

Pub. period:2004-2008
Pub. count:5
Number of co-authors:8



Co-authors

Number of publications with 3 favourite co-authors:

Saravadee Sae Tan:4
Gan Keng Hoon:4
Phang Keat Keong:2

 

 

Productive colleagues

Tang Enya Kong's 3 most productive colleagues in number of publications:

Saravadee Sae Tan:5
Gan Keng Hoon:5
Phang Keat Keong:2
 
 
 
Jul 29

There is an old English folk saying that goes, "If you can't stand the heat, get out of the kitchen." I have a different approach: Do something about the heat. The folk saying would have us accept the poor designs of the world. Why? After all, if people were responsible for the "heat" in the first place, then people should be able to do something about it. Is the kitchen too hot? Redesign it.

-- Don Norman

 
 

Featured chapter

Marc Hassenzahl explains the fascinating concept of User Experience and Experience Design. Commentaries by Don Norman, Eric Reiss, Mark Blythe, and Whitney Hess

User Experience and Experience Design !

 
 

Our Latest Books

Kumar and Herger 2013: Gamification at Work: Designing Engaging Business Software...
by Janaki Mythily Kumar and Mario Herger

 
Start reading

Whitworth and Ahmad 2013: The Social Design of Technical Systems: Building technologies for communities...
by Brian Whitworth and Adnan Ahmad

 
Start reading

Soegaard and Dam 2013: The Encyclopedia of Human-Computer Interaction, 2nd Ed....
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

Help us help you!