An efficient top-k ranking method for service selection based on ε-ADMOPSO algorithm
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-018-3640-9/fulltext.html
Reference45 articles.
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3. Ali R, Naim I (2015) User feedback based metasearching using neural network. Int J Mach Learn Cybern 6(2):265–275
4. Li L, Xu G, Zhang Y, Kitsuregawa M (2011) Random walk based rank aggregation to improving web search. Knowl Based Syst 24(7):943–951
5. Keyhanipour AH, Moshiri B, Kazemian M, Piroozmand M, Lucas C (2007) Aggregation of web search engines based on users’ preferences in WebFusion. Knowl Based Syst 20(4):321–328
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