| Summary: | 碩士 === 國立虎尾科技大學 === 資訊工程研究所 === 101 === The development of Web 2.0 has enabled all internet users to upload and share files through the internet. It is also because of this that the amount of resources on the internet has grown rapidly. An increasing degree of importance is being attached to the use of tags, in which a few keywords or some terms describes the content of a file or document. This greatly enhances the reusability and searchability of web resources. Social tags, a derivative based on the concept of folksonomy, changed the convention in which only administrators can tag resources, allowing users to share their tags and increasing the accuracy and reliability of web resource classification. The wide use of tags has also simplified the personalization of user profiles. By recording the behavioral patterns of users on the internet, collecting the resource tags in their browsing history or interactions, and creating tag clouds with the tags, one can understand what matters a user is interested in or what domains they focus on. We therefore developed an e-commerce recommendation platform on a distributed file system. And automatically creates user profiles based on products the users have browsed, tags they have made, and transactions they have engaged in. Based on the behavioral pattern of the user, the weights of the tags in their user profiles are adjusted to achieve the objective of personalization. Finally, we adopted cosine similarity to compare user profiles with product files so that products that closely matched the preferences of the user could be recommended. This enhances the searchability of the product and the accuracy of the classification. Moreover, it can excavate possible business opportunities and rectify the previous situation in which poor recommendations were derived from keyword searches.
|
|---|
