Le bouquin! The Study and Practice of Personal Information Management By, William Jones In an ideal world we have the right information at the right time, in the right place, in the right form, and of sufficient completeness and quality to perform the current activity.
Tools and technologies help so that we spend less time with burdensome and error prone actions of information management (such as filing). We then have more time to make creative, intelligent use of the information at hand in order to get things done. The result for us as individuals is better use of our resources of time, money, energy and attention. This book provides a comprehensive overview of PIM, which refers to both the practice and the study of the activities people perform in order to acquire, organize, maintain, and retrieve information for everyday use. Introductory chapters provide an overview of PIM and a sense for its many facets. Read Excerpts from the Chapter of the Month "This is an important book. Once found, what then? A study of “keeping” behaviors in the personal use of Web information - Jones - 2005 - Proceedings of the American Society for Information Science and Technology. Keeping Found Things Found [KFTF] Information retrieval.
Information retrieval is the activity of obtaining information resources relevant to an information need from a collection of information resources.
Searches can be based on metadata or on full-text (or other content-based) indexing. Automated information retrieval systems are used to reduce what has been called "information overload". Many universities and public libraries use IR systems to provide access to books, journals and other documents. Web search engines are the most visible IR applications. Overview[edit] An information retrieval process begins when a user enters a query into the system. An object is an entity that is represented by information in a database. Most IR systems compute a numeric score on how well each object in the database matches the query, and rank the objects according to this value.
History[edit] Model types[edit] For effectively retrieving relevant documents by IR strategies, the documents are typically transformed into a suitable representation. Recall[edit] S T. Dumais - ACM author profile page. Groupe de recherche sur l'information retrivial at microsoft. Overview The Adaptive Systems & Interaction group (ASI) pursues research on automated reasoning, adaptation, and human-computer interaction.
Interests of the group include principles and applications of decision making and learning, computation in the face of complexity, techniques for information management and search, and the development and evaluation of innovative designs for visualization and interaction. Research goals include both the pursuit of basic science and the development of computing and communications applications that demonstrate new functionalities and flexibility. ASI is at the center of user modeling at Microsoft Research, focused on inferring the goals and needs of users from multiple sources of information about activity and interests.
The group is also home to research on information retrieval and management, including work in automated text classification and clustering. Areas of Focus User Modeling and Intelligent User Interfaces. HCI Design and Visualization. 1997-RevisitWeb.IJHCS. CACM07-ExploratorySearchAndPIM. CHI2006-phlat. CACM07-p58-cutrell.