Improving Organizational Memories Through User Feedback
نویسندگان
چکیده
The benefits of an organizational memory are ultimately determined by the usefulness of the organizational memory as perceived by its users. Therefore, an improvement of an organizational memory should be measured in the added perceived usefulness. Unfortunately, the perceived usefulness has many impact factors (e.g., the precision of the user query, the urgency with which the user needs information, the coverage of the underlying knowledge base, the quality of the schema used to store knowledge, and the quality of the implementation). Hence, it is difficult to identify good starting points for improvement. This paper presents the goal-oriented method OMI (Organizational Memory Improvement) for improving an organizational memory incrementally from the user’s point of view. It has been developed through several case studies and consists of a general usage model, a set of indicators for improvement potential, and a cause-effect model. At each step of the general usage model of OMI, protocol cases are recorded to pinpoint improvement potential for increasing the perceived usefulness. If improvement potential is identified based on the interpretation of the protocol cases, the user is asked for specific improvement suggestions. Since this is a continuous diagnosis of the usefulness of the organizational memory, this method is able to adapt the organizational memory to the needs of the users – even if the environment, for which the organizational memory was designed, changes.
منابع مشابه
Systematically Diagnosing and Improving the Perceived Usefulness of Organizational Memories
The benefits of an organizational memory are ultimately determined by the usefulness of the organizational memory as perceived by its users. Therefore, an improvement of an organizational memory should be measured in the added perceived usefulness. Unfortunately, the perceived usefulness has many impact factors (e.g., the precision of the user query, the urgency with which the user needs inform...
متن کاملImproving the Information Retrieval System through Effective Evaluation of Web Page in Client Side Analysis
To improve the information retrieval system for user, programmers have to learn a user's preferences accurately. In order to optimize retrieval accuracy, modeling the users appropriately based on their preferences and personalizing search according to each individual user are important. Implicit feedback information improves the user modeling process. The advantage of implicit modeling is effec...
متن کاملIntegrating Task, Role, and User Modeling in Organizational Memories
In application areas like personal information agents user models typically maintain sophisticated representations of personal interest profiles. These representations can be utilized for personalized information presentation. Information support in Organizational Memories mainly address the same goals, but prevalently derive actual information needs from task and role specific information need...
متن کاملWeb pages ranking algorithm based on reinforcement learning and user feedback
The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. In this paper, a ranking algorithm based on the reinforcement le...
متن کاملQuery expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1999