摘要
Searching for a particular person by specifying her name is one of the essential functions in online social networking services such as Facebook. So many times, however, one would like to find a person but what she knows is few social labels about the target, such as interests, skills, hometown, school, employment, etc. Assume each user is associated a set of social labels, we propose a novel search in online social network, Person-of-Interest (POI) Search, which aims to find a list of desired targets based on a set of user-specified query labels that depict the targets. We develop a greedy heuristic graph search algorithm, which finds the target who not only covers the query labels, but also either possesses better social interactions with peers or has higher social proximity towards the user. Experiments conducted on Facebook and Twitter datasets exhibit the satisfying accuracy and encourage more advanced efforts on POI search.
| 原文 | English |
|---|---|
| 主出版物標題 | SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| 發行者 | Association for Computing Machinery, Inc |
| 頁面 | 839-842 |
| 頁數 | 4 |
| ISBN(電子) | 9781450336215 |
| DOIs | |
| 出版狀態 | Published - 2015 8月 9 |
| 事件 | 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015 - Santiago, Chile 持續時間: 2015 8月 9 → 2015 8月 13 |
出版系列
| 名字 | SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval |
|---|
Other
| Other | 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015 |
|---|---|
| 國家/地區 | Chile |
| 城市 | Santiago |
| 期間 | 15-08-09 → 15-08-13 |
UN SDG
此研究成果有助於以下永續發展目標
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SDG 4 品質教育
All Science Journal Classification (ASJC) codes
- 資訊系統
- 軟體
指紋
深入研究「I see you: Person-of-interest search in social networks」主題。共同形成了獨特的指紋。引用此
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