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Search algorithms designed to seek out similar users in social networking sites are a significant function of recommendation systems. Conventionally, such sub-algorithms consider all the dimensions of user data as a whole. However, as the information in various dimensions is generally independent, the conventional approaches may not be the best way to find similar users. This paper solves this problem...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.