Matches in SemOpenAlex for { <https://semopenalex.org/work/W2143201727> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2143201727 abstract "In this paper, we compare two soft computing methods used for product filtering in web personalisation for E-commerce. Due to the diversely behaving nature, and the complexity to model the customers' behaviour using market research methodologies, it is difficult to build a universal model relating the purchasing behaviour mathematical in E-commerce. For this reason, soft computing techniques may be considered as more appropriate in such case. In this study, we have investigated and compared an artificial neural network (ANN) and a fuzzy based method on a particular simulated data set. Initial results indicated that the fuzzy method could be a better choice as there are means to improve the results and human users may understand and modify the model." @default.
- W2143201727 created "2016-06-24" @default.
- W2143201727 creator A5005285184 @default.
- W2143201727 creator A5041750480 @default.
- W2143201727 creator A5062739845 @default.
- W2143201727 date "2009-06-01" @default.
- W2143201727 modified "2023-09-28" @default.
- W2143201727 title "Soft computing techniques for product filtering in E-commerce personalisation: A comparison study" @default.
- W2143201727 cites W150776213 @default.
- W2143201727 cites W1593088422 @default.
- W2143201727 cites W2012451152 @default.
- W2143201727 cites W2033458276 @default.
- W2143201727 cites W2080344594 @default.
- W2143201727 cites W2093053993 @default.
- W2143201727 cites W2125009256 @default.
- W2143201727 cites W2138238457 @default.
- W2143201727 cites W2343736690 @default.
- W2143201727 cites W2613385452 @default.
- W2143201727 cites W2912565176 @default.
- W2143201727 doi "https://doi.org/10.1109/dest.2009.5276689" @default.
- W2143201727 hasPublicationYear "2009" @default.
- W2143201727 type Work @default.
- W2143201727 sameAs 2143201727 @default.
- W2143201727 citedByCount "1" @default.
- W2143201727 countsByYear W21432017272017 @default.
- W2143201727 crossrefType "proceedings-article" @default.
- W2143201727 hasAuthorship W2143201727A5005285184 @default.
- W2143201727 hasAuthorship W2143201727A5041750480 @default.
- W2143201727 hasAuthorship W2143201727A5062739845 @default.
- W2143201727 hasBestOaLocation W21432017272 @default.
- W2143201727 hasConcept C111012933 @default.
- W2143201727 hasConcept C119857082 @default.
- W2143201727 hasConcept C124101348 @default.
- W2143201727 hasConcept C127413603 @default.
- W2143201727 hasConcept C136764020 @default.
- W2143201727 hasConcept C140073362 @default.
- W2143201727 hasConcept C154945302 @default.
- W2143201727 hasConcept C177264268 @default.
- W2143201727 hasConcept C183003079 @default.
- W2143201727 hasConcept C199360897 @default.
- W2143201727 hasConcept C21547014 @default.
- W2143201727 hasConcept C21569690 @default.
- W2143201727 hasConcept C2524010 @default.
- W2143201727 hasConcept C2778813691 @default.
- W2143201727 hasConcept C33923547 @default.
- W2143201727 hasConcept C41008148 @default.
- W2143201727 hasConcept C42011625 @default.
- W2143201727 hasConcept C50644808 @default.
- W2143201727 hasConcept C557471498 @default.
- W2143201727 hasConcept C58166 @default.
- W2143201727 hasConcept C78597825 @default.
- W2143201727 hasConcept C90673727 @default.
- W2143201727 hasConceptScore W2143201727C111012933 @default.
- W2143201727 hasConceptScore W2143201727C119857082 @default.
- W2143201727 hasConceptScore W2143201727C124101348 @default.
- W2143201727 hasConceptScore W2143201727C127413603 @default.
- W2143201727 hasConceptScore W2143201727C136764020 @default.
- W2143201727 hasConceptScore W2143201727C140073362 @default.
- W2143201727 hasConceptScore W2143201727C154945302 @default.
- W2143201727 hasConceptScore W2143201727C177264268 @default.
- W2143201727 hasConceptScore W2143201727C183003079 @default.
- W2143201727 hasConceptScore W2143201727C199360897 @default.
- W2143201727 hasConceptScore W2143201727C21547014 @default.
- W2143201727 hasConceptScore W2143201727C21569690 @default.
- W2143201727 hasConceptScore W2143201727C2524010 @default.
- W2143201727 hasConceptScore W2143201727C2778813691 @default.
- W2143201727 hasConceptScore W2143201727C33923547 @default.
- W2143201727 hasConceptScore W2143201727C41008148 @default.
- W2143201727 hasConceptScore W2143201727C42011625 @default.
- W2143201727 hasConceptScore W2143201727C50644808 @default.
- W2143201727 hasConceptScore W2143201727C557471498 @default.
- W2143201727 hasConceptScore W2143201727C58166 @default.
- W2143201727 hasConceptScore W2143201727C78597825 @default.
- W2143201727 hasConceptScore W2143201727C90673727 @default.
- W2143201727 hasLocation W21432017271 @default.
- W2143201727 hasLocation W21432017272 @default.
- W2143201727 hasOpenAccess W2143201727 @default.
- W2143201727 hasPrimaryLocation W21432017271 @default.
- W2143201727 hasRelatedWork W1988177303 @default.
- W2143201727 hasRelatedWork W2026690987 @default.
- W2143201727 hasRelatedWork W2135729732 @default.
- W2143201727 hasRelatedWork W2143201727 @default.
- W2143201727 hasRelatedWork W2368095327 @default.
- W2143201727 hasRelatedWork W2379589829 @default.
- W2143201727 hasRelatedWork W2901860866 @default.
- W2143201727 hasRelatedWork W2955347309 @default.
- W2143201727 hasRelatedWork W3210725051 @default.
- W2143201727 hasRelatedWork W4287883440 @default.
- W2143201727 isParatext "false" @default.
- W2143201727 isRetracted "false" @default.
- W2143201727 magId "2143201727" @default.
- W2143201727 workType "article" @default.