Trend Prediction in Social Bookmark Service Using Time Series of Bookmarks
نویسندگان
چکیده
Social bookmark service is a web-based service which enables its users to manage and share their bookmarks on Web pages. Many bookmarks are aggregated and shared on social bookmarks, so they become useful news sources now. In this paper, we propose a trend prediction method of newly-posted pages, using time sequential data of users and “tags” annotated to bookmarks.
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تاریخ انتشار 2008