| 摘要 |
PROBLEM TO BE SOLVED: To search for and recommend a book which is both useful and unexpected to a customer. SOLUTION: Key word vectors of respective books that the purchaser bought in the past are put together by categories to generate a customer profile. According to a book database, the key word vectors are generated for each book. Then the similarity between the key word vectors of the customer profile and the key word vectors of unpurchased books is computed by combinations of books in the same category and between different categories, and the a book can be retrieved from the point of view of usefulness and unexpectedness. Thus, an unpurchased book with high similarity can be recommended.
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