Self-organized formation of topologically correct feature maps
Neurocomputing: foundations of research
An algorithm for suffix stripping
Readings in information retrieval
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Helping people find what they don't know
Communications of the ACM
A new multi-search engine for querying data through an Internet search service on CORBA
Computer Networks: The International Journal of Computer and Telecommunications Networking
A vector space model for automatic indexing
Communications of the ACM
Building efficient and effective metasearch engines
ACM Computing Surveys (CSUR)
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Topic-conditioned novelty detection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Query length in interactive information retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Mining for interactive identification of users' information needs
Information Systems
Support Vector Data Description
Machine Learning
A symbolic approach for content-based information filtering
Information Processing Letters
CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
IEEE Intelligent Systems
Mining long-term search history to improve search accuracy
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Eliciting better information need descriptions from users of information search systems
Information Processing and Management: an International Journal
Capturing User Contexts: Dynamic Profiling for Information Seeking Tasks
ICSNC '08 Proceedings of the 2008 Third International Conference on Systems and Networks Communications
Collaborative filtering using orthogonal nonnegative matrix tri-factorization
Information Processing and Management: an International Journal
Electronic Commerce Research and Applications
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
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Information seeking is the act of obtaining information from existing resources in both human and technological contexts, and past studies have applied the behavior of users to determine the user needs. Search engines, information retrieval, and recommendation systems are the major solutions of information seeking. However, these techniques lack a description method for overall information needs and other limitations. Information seeking behavior is related to the content and concepts in content, and this study proposes an information needs radar model, which consists of users, content and concepts to describe information needs. The information seeking architecture based on this model is used to evaluate and obtain information about users' needs. The experimental results indicated that our proposed architecture has stable and better performance irrespective of data size, which demonstrates the applicability and effectiveness of the architecture. Furthermore, the information needs the radar model to be able to satisfy customer demands; it is not only helpful in the development of information filtering, recommendation systems, and knowledge-based systems, but also enhances the reliance and loyalty of users towards the system.