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|    Question on Recommender system by fuzzy     |
|    09 Feb 08 13:42:08    |
      I am working on a project about book recommendation, I have a       database       contatins basic book's detail .eg.       Title,author,publishdate,price,desc,BookType. When i use my interface       to search on the book, I can get 5 books. And then I want to use       ontology to find the similar book related to a search result. But I       have problem to relate them together.       The problem is: for my ontology, its structure like:       book(root)-->comic-->Action ;"Another path start from book"==>       book(root)-->Fiction-->Horror, For example, If i searched a book "       The Devil Inside ", It has a fuzzy similarity value 0.4 to Action.       And       0.8 to Horror.(The fuzzy value is defined by me and " The Devil       Inside       "s' type with "Horror and Action" is also defined by me )<==Is that I       have another approach to define the book type rather than defined by       myself? Both the fuzzy value and similar type is predefined in       database.              Isnt it I can get the result by: 1. from the search result, get the       book's type(Horror and Action) 2. then find just all their subclasses       book of Horror and Action?       However, If I use this approach, I think I have limited myself to       find       other related Item, Is that I think in my wrong way?       Thx              [ comp.ai is moderated ... your article may take a while to appear. ]              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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