Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval
DYM Chan, I King. Cited by 21
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Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
I King, TK Lau. Cited by 8
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Electronic engineering notebooks
J Gwizdka, MS Fox, M Chignell. Cited by 3
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Optimal operating conditions steel plant: genetic adaptive for the search primary end of an integrated and classical techniques
B Deo, K Deb, SK Jha, V Sudhakaran, NV Sridhar
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ClickIR: Text Retrieval using a Dynamic Hypertext Interface.
RC Bodner, M Chignell. Cited by 11
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Information archiving with bookmarks
D Abrams, R Baecker, M Chignell. Cited by 316
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Two-Stage Polygon Representation for Efficient Shape Retrieval in Image Databases
LH Tung, I King, PF Fung, WS Lee. Cited by 6
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Dynamic Hypertext Benefits Novices in Question Answering
JC Tam, RC Bodner, M Chignell. Cited by 3
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Design and evaluation of web-based dynamic hypertexts
M Chignell, JC Tam. Cited by 3
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From information retrieval to hypertext and back again: the role of interaction in the information exploration interface
M Chignell, G Golovchinsky. Cited by 13
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A two-stage framework for polygon retrieval using Minimum Circular Error Bound
LH Tung, I King. Cited by 1
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Competitive Learning Clustering for Information Retrieval in Image Databases.
I King, TK Lau. Cited by 6