Towards data modelling in information retrieval
Journal of Information Science
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Helping people find what they don't know
Communications of the ACM
On the architecture of a system integrating data base management and information retrieval
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
ACM SIGIR Forum
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
The Geometry of Information Retrieval
The Geometry of Information Retrieval
Relevance models to help estimate document and query parameters
ACM Transactions on Information Systems (TOIS)
Utilizing a geometry of context for enhanced implicit feedback
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
Emerging multidisciplinary research across database management systems
ACM SIGMOD Record
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Textual queries, often short and ambiguous, can be insufficient when describing complex user information needs. Since users are reluctant or unable to provide long or precise descriptions, a possible solution to the low Information Retrieval (IR) system relevance prediction capability is to exploit diverse sources of evidence which are available during the search process. One of the open problems of the combination of diverse sources of evidence is the need of a uniform formalism which seamlessly describes the sources and the document ranking function within a single model. To this end, this paper discusses an IR view which explicitly considers other sources in addition to the information need and the document, and proposes a methodology to exploit them to support feedback. The IR view is described using the Entity-Relationship (ER) model which allows us to view the sources as properties of entities -- e.g. of the entity information need, document, or user -- or of their relationships.