Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Boston UXPA Usability and UX Conf. 2013

May 25

“ Civilization advances by extending the number of important operations which we can perform without thinking of them. ”

-- Alfred North Whitehead

Share this quote on...
Get more quotes via RSS or by joining our Usability Quote of the Day Facebook Page

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

Help us help you!

Spread the word:
Donate
Other ways to help

R. W. P. Luk

Add description

← Button will not work: You have not enabled Javascript. How do I enable it?

Rename / change spelling

Add publication

← Button will not work: You have not enabled Javascript. How do I enable it?

Publications by R. W. P. Luk (bibliography)

2008

Edit | Del

Ko, P. Y., Luk, R. W. P., Ho, E. K. S., Chung, F. L. and Lee, D. L. (2008): Are Concepts Useful for Organizing Search Results?. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 153-154.

“This paper reports an explorative study on organizing search results by concepts that are selected titles of Wiki pages. Because of limited display areas and for ease of navigation, two novel algorithms identify at most three general concepts, and at most five of their specific concepts for display. Our evaluation shows that the retrieval effectiveness improvement is significant at 90% confidence level using the paired student' s t-test, albeit our users have no access to document titles nor to the content.”

2005

Edit | Del

Wu, H. C., Luk, R. W. P., Wong, K. F., Kwok, K. L. and Li, W. J. (2005): A retrospective study of probabilistic context-based retrieval. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2005. pp. 663-664.

“We propose a novel probabilistic retrieval model which weights terms according to their contexts in documents. The term weighting function of our model is similar to the language model and the binary independence model. The retrospective experiments (i.e., relevance information is present) illustrate the potential of our probabilistic context-based retrieval where the precision at the top 30 documents is about 43% for TREC-6 data and 52% for TREC-7 data.”

Add publication