| Summary: | 碩士 === 國立交通大學 === 資訊管理研究所 === 101 === In order to survive in the fiercely competitive business environment, providing the customers with the better shopping experience becomes an important issue for physical retailers. They renovate and enlarge their shopping space to make their store more enjoyable places to visit. With the growing of the social media and the mobile device, retailers can take this opportunity to offer the context-ware guild service to further enhance in-store shopping experience. In this research, by extracting and analyzing shopping information (shopping context and visiting trajectory) and social information (user’s interest, and friends’ influence), a contextual in-store shopping recommendation system is proposed to provide the suitable route for the customer who is the first time to or unfamiliar with the retailers’ shopping space.
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