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Information Retrieval Frameworks

Yang, Grace Hui; Sloan, Marc; Wang, Jun; (2016) Information Retrieval Frameworks. In: Yang, Grace Hui and Sloan, Marc and Wang, Jun, (eds.) Dynamic Information Retrieval Modeling. (pp. 11-29). Springer: Cham, Switzerland.

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Abstract

Before we start identifying specific areas of IR research that can be described using the dynamic IR models that we present in this book, we take a more general view of problems in IR by representing them conceptually, distinguishing between static, interactive and dynamic models. For instance, with regard to ranking and retrieval, a static model is one where no user feedback is considered, an interactive model incorporates feedback but only to immediately improve the ranking, and a dynamic model uses feedback to optimize and plan for every user interaction. Each of the framework categories are a generalization of the previous. Similar trends are observed in other areas of IR research, for example the early term-based vector space retrieval model gave way to more complex models like BM25 [196] and language modeling [187]. Likewise, the evolution from static to interactive and then dynamic IR reflects the increasing complexity of search problems and the need for responsive solutions. In this chapter, each conceptual model is presented along with an associated framework for solving IR problems in that model, and a case study example application of the framework.

Type: Book chapter
Title: Information Retrieval Frameworks
ISBN-13: 9783031011733
DOI: 10.1007/978-3-031-02301-9_2
Publisher version: https://doi.org/10.1007/978-3-031-02301-9_2
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10203482
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