Personalized information delivery

Abstract

With the increasing availability of information in electronic form, it becomes more important and feasible to have automatic methods to filter information. Research organizations generate large amounts of information, which can include departmental and technical memoranda, announcements of meetings and conferences, and minutes from meetings. This volume of information makes it difficult to keep employees apprised of all relevant work. Furthermore, only a small fraction of the available information will actually be relevant to any particular employee within an organization that covers a variety of areas. Thus, there is the problem of determining what information is of interest to the employee, while minimizing the amount of search through irrelevant information. This research tested several information-retrieval methods for filtering technical memos.