標題: 情境式適地服務群體推薦機制
A Contextual Group Recommender Mechanism for Location-based Service
作者: 張光宇
Chang, Alvin
李永銘
Li, Yung-Ming
資訊管理研究所
關鍵字: 情境;社會影響力;集團推薦系統;基於位置服務;Context-awareness;Social influence;Group recommender systems;Location-based service
公開日期: 2014
摘要: 隨著社交媒體使用人數的增加及手機設備的普及化,適地性服務已經在學術及產業界成為一種熱門的話題,這些適地性的服務中,像是應用程式Foursquare和Facebook Places同意搜尋獲探索身邊的熱門景點,再加上形成群組概念的產生,人們開始對群體商務的應用產生興趣。在我們日常生活中,有許多情境涉及到我們身邊的人,無論是家人或是朋友,而平常的活動,像是看電影或者吃飯,人們都會組成團體一起行動,為了結合適地性服務及推薦系統的概念,我們提出社群適地性驅動推薦機制。此篇研究目的在於找尋及推薦與團體成員們高度相關的地點,而個人喜好(Personal Preference )、社群影響力(Social Influence)和情境(Context-awareness)是組成系統的核心要素。 我們的系統提供一個高效,便捷的平台,為會場發現組,並增加為服務供應商之商業宣傳。
With the increasing popularity of social media and ubiquity of mobile devices, location-based services have become a trending topic in both academia and industry. These services, such as Foursquare and Facebook Places, allow users to search and explore around them. The notion of group recommendation, though new, has started to generate interest. Many scenarios in our daily lives involve others around us, be it friends or family members. Daily activities, such as watching a movie or eating at a restaurant are often done as a group. In an effort to combine location-based service features with recommender system concepts, we propose a group contextual mechanism for venue recommendation. Our research aims to discover and recommend places that may be of high relevance to a group of people. Preference, as well as social influence and context-awareness are considered as core components in our mechanism. Our system provides an efficient and convenient platform to groups for venue discovery, and increases commercial publicity for service providers.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT070053438
http://hdl.handle.net/11536/76108
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