Learning about Potential Users of Collaborative Information Retrieval Systems
نویسندگان
چکیده
One of the key components of designing usable and useful collaborative information retrieval systems is to understand the needs of the users of these systems. Our research team has been exploring collaborative information behavior in a variety of organizational settings. Our research goals have been two-fold: First, to develop a conceptual understanding of collaborative information behavior and second, gather requirements for the design of collaborative information retrieval systems. In this paper, we present a brief overview of our fieldwork in a three different organizational settings, discuss our methodology for collecting data on collaborative information behavior, and highlight some lessons that we are learning about potential users of collaborative information retrieval systems in these domains. Author
منابع مشابه
A New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملAn Investigation into Digital Library Users' Collaborative Information Seeking (CIS) of Graduate Students of Kharazmi University with an emphasis on two easy and difficult scenarios
Background and Aim: Understanding collaborative information seeking behaviour requires knowing about personal characteristics, differences between users, and the type of interactions occur during a collaborative behaviour. The aim of this study is to investigate dimensions of collaborative information seeking behaviour of graduate students of Kharazmi University when using a digital library bas...
متن کاملیک سامانه توصیهگر ترکیبی با استفاده از اعتماد و خوشهبندی دوجهته بهمنظور افزایش کارایی پالایشگروهی
In the present era, the amount of information grows exponentially. So, finding the required information among the mass of information has become a major challenge. The success of e-commerce systems and online business transactions depend greatly on the effective design of products recommender mechanism. Providing high quality recommendations is important for e-commerce systems to assist users i...
متن کاملBehavioral Considerations in Developing Web Information Systems: User-centered Design Agenda
The current paper explores designing a web information retrieval system regarding the searching behavior of users in real and everyday life. Designing an information system that is closely linked to human behavior is equally important for providers and the end users. From an Information Science point of view, four approaches in designing information retrieval systems were identified as system-...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
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:
- CoRR
دوره abs/0908.0764 شماره
صفحات -
تاریخ انتشار 2008