ダウンロード数: 381
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
s11042-016-4034-6.pdf | 8.98 MB | Adobe PDF | 見る/開く |
タイトル: | SNS user classification and its application to obscure POI discovery |
著者: | Zhuang, Chenyi Ma, Qiang https://orcid.org/0000-0003-3430-9244 (unconfirmed) Yoshikawa, Masatoshi https://orcid.org/0000-0002-1176-700X (unconfirmed) |
著者名の別形: | 馬, 強 吉川, 正俊 |
キーワード: | User profiling Obscure points of interests Probabilistic model Social network |
発行日: | Feb-2017 |
出版者: | Springer Nature |
誌名: | Multimedia Tools and Applications |
巻: | 76 |
号: | 4 |
開始ページ: | 5461 |
終了ページ: | 5487 |
抄録: | Technologies are increasingly taking advantage of the explosion of social media (e.g., web searches, ad targeting, personalized geo-social recommendations, urban computing). Estimating the characteristics of users, or user profiling, is one of the key challenges for such technologies. This paper focuses on the important problem of automatically estimating social networking service (SNS) user authority with a given city, which can significantly improve location-based services and systems. The “authority” in our work measures a user’s familiarity with a particular city. By analyzing users’ social, temporal, and spatial behavior, we respectively propose and compare three models for user authority: a social-network-driven model, time-driven model, and location-driven model. Furthermore, we discuss the integration of these three models. Finally, by using these user-profiling models, we propose a new application for geo-social recommendations. In contrast to related studies, which focus on popular and famous points of interests (POIs), our models help discover obscure POIs that are not well known. Experimental evaluations and analysis on a real dataset collected from three cities demonstrate the performance of the proposed user-profiling models. To verify the effect of discovering obscure POIs, the proposed application was implemented to discover and explore obscure POIs in Kyoto, Japan. |
著作権等: | The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-016-4034-6. The full-text file will be made open to the public on 01 February 2018 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 This is not the published version. Please cite only the published version. |
URI: | http://hdl.handle.net/2433/219134 |
DOI(出版社版): | 10.1007/s11042-016-4034-6 |
出現コレクション: | 学術雑誌掲載論文等 |
このリポジトリに保管されているアイテムはすべて著作権により保護されています。