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  • 學位論文

基於語意網技術之社群電子商務推薦系統設計

The Design of a Social Commerce Recommendation System Based on Semantic Web Technology

指導教授 : 龔旭陽

摘要


近年來,網際網路快速帶動網路電子商務的蓬勃發展,且隨著社群網站的興起,社群電子商務(如:團購網)的消費模式與發展亦成為近兩、三年電子商務快速成長的重要推手。社群電子商務興起的熱潮,帶動越來越多的團購網站設立,有鑑於目前尚未有一套整合性的團購網站推薦平台,因此,本論文提出一套基於語意網(Semantic Web, SW)技術之社群電子商務推薦系統(Social Commerce Recommendation System, SCRS),包含:商品資訊蒐集層(Merchandise Information Collection Layer, MICL)、商品語意網路層(Merchandise Semantic Web Layer, MSWL)、基於內容資訊過濾機制及商品資訊推薦層(Content-based Information Filtering Layer and Merchandise Information Recommendation Layer, CIFL and MIRL)。透過蒐集不同社群電子商務的產品團購資訊與本體論規則庫(Rule base of Ontology)的建置,以建立使用者與商品資訊的關聯性,並採用內容式資訊過濾技術,針對使用者的偏好、所在區域與商品資訊進行商品配適度(Degree of adaptability)計算,以推薦合適的社群電子商務產品給予使用者。 本論文於系統實作部分以團購網為例,透過蒐集現今熱門的團購網站(如:GrouponTW、Gomaji、17P好康、123團購網…等)團購資料建立商品資料庫,並結合語意網技術,建立商品本體論(Merchandise Ontology, MO)與個人本體論(Personal Ontology, PO),針對團購商品資料與使用者資料進行分析與比對,給予使用者合適的商品團購資訊推薦,以縮短消費者於不同團購網站進行資訊檢索與篩選的時間。

並列摘要


Among the vigorous developments of the network, E-Commerce becomes one of the important channels for marketing and sale today. The development of Social Commerce, such as group buying website, is also the major force to drive the growth on E-commerce in recent years. However, users need to spend much time to search the discount information on different group buying websites. In this paper, we propose the Social Commerce Recommendation System (SCRS) which contains Merchandise Information Collection Layer (MICL), Merchandise Semantic Web Layer (MSWL), Content-based Information Filtering Layer (CIFL), and Merchandise Information Recommendation Layer (MIRL). In the implementation, we obtain the discount information to establish the MICL from the group buying websites such as GrouponTW, Gomaji, 17 Life and so on. The MSWL uses the Merchandise Ontology (MO) and Personal Ontology (PO) based on Semantic Web (SW). The CIFL calculates the matching coefficient and infers suitable discount information for users and shows the result on MIRL. Eventually, users can get the suitable merchandise recommendation and can shorten the time for them to retrieval and filtering the discount information on group buying websites.

並列關鍵字

Semantic Web Social Commerce Ontology Group-buying

參考文獻


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