現在是個資訊負載的社會，網路上的資訊漸漸大於資訊搜尋者的需求而造成使用者尋找資訊時的負擔。而這樣的負擔也就會讓使用者對於所處的虛擬社群產生反感，所以如何讓使用者找到資訊則是這些虛擬社群的生存關鍵。本研究便提供了一個衡量虛擬社群搜尋的構面，而這個構面將影響到使用者對於虛擬社群的歸屬感。並測試專家為導向的搜尋是否在這個構面中有較好的效果。並希望這樣子的構面能夠做為虛擬社群搜尋系統建構者的一個依據。

Today, the internet is full of information. The amount of information on the internet exceeded users' need, and it will be the burden when the user wants to find the problem. The burden will also make the user dislike the virtual community he/she searched from. Therefore, how to provide user a good search experience will be an important issue for virtual community to live on. In this study, we provided an analytical framework of search experience, which affect users' sense of virtual community, for measuring search system, and we also created an expert-based system tested by search experience framework for knowing the advantage of expert-based system. In addition, we expect that the search experience framework will be the foundation for virtual community's operators to build their search system.

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