Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Quality and relevance of domain-specific search: A case study in mental health
Information Retrieval
On iterative intelligent medical search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Algorithmic stemmers or morphological analysis? An evaluation
Journal of the American Society for Information Science and Technology
Adapting the tf idf vector-space model to domain specific information retrieval
Proceedings of the 2010 ACM Symposium on Applied Computing
Search system requirements of patent analysts
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Toward a semantic granularity model for domain-specific information retrieval
ACM Transactions on Information Systems (TOIS)
Patent image retrieval: a survey
Proceedings of the 4th workshop on Patent information retrieval
Differences in effectiveness across sub-collections
Proceedings of the 21st ACM international conference on Information and knowledge management
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We examine what makes a search system domain-specific and find that previous definitions are incomplete. We propose a new definition of domain specific search, together with a corresponding model, to assist researchers, systems designers and system beneficiaries in their analysis of their own domain. This model is then instantiated for two domains: intellectual property search (i.e. patent search) and medical or healthcare search. For each of the two we follow the theoretical model and identify outstanding issues. We find that the choice of dimensions is still an open issue, as linear independence is often absent and specific use-cases, particularly those related to interactive IR, still cannot be covered by the proposed model.