Social tagging using marked strings in W eb pages
Yuki Matsuoka, Ryuuki Sakamoto, Sadanori Ito, Hideaki Takeda, Kiyoshi Kogure · 2006
In this paper, we propose a system called “Aikuchi,” which enables users to mark a string on a Web page and share it with other users. If users mark a string on their Web browser using their mouse cursor, Aikuchi recommends links to other Web pages based on recommendation algorithms. When a user clicks a recommended link, Aikuchi highlights a marked string. We offered the system as part of a conference support system. According to the analysis of user logs, users preferred Web page recommendations based on strings marked by other users to those based on page similarity using TFIDF and collaborative filtering. As a result, we think that marked strings can act as usergenerated metadata.