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I see you: Person-of-interest search in social networks

研究成果: Conference contribution

6   連結會在新分頁中開啟 引文 斯高帕斯(Scopus)

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 92015 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

Other38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015
國家/地區Chile
城市Santiago
期間15-08-0915-08-13

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG 4 - 品質教育
    SDG 4 品質教育

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 軟體

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