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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Dynamic Information Retrieval Modeling

Dynamic Information Retrieval Modeling

Yang, Grace Hui
Sloan, Marc
Wang, Jun

Paperback

Series: Synthesis Lectures on Information Concepts, Retrieval, and S

General ComputersNetworkingSystem Administration

ISBN10: 3031011732
ISBN13: 9783031011733
Publisher: Springer
Published: Jun 16 2016
Pages: 126
Weight: 0.59
Height: 0.32 Width: 7.50 Depth: 9.25
Language: English

Big data and human-computer information retrieval (HCIR) are changing IR. They capture the dynamic changes in the data and dynamic interactions of users with IR systems. A dynamic system is one which changes or adapts over time or a sequence of events. Many modern IR systems and data exhibit these characteristics which are largely ignored by conventional techniques. What is missing is an ability for the model to change over time and be responsive to stimulus. Documents, relevance, users and tasks all exhibit dynamic behavior that is captured in data sets typically collected over long time spans and models need to respond to these changes. Additionally, the size of modern datasets enforces limits on the amount of learning a system can achieve. Further to this, advances in IR interface, personalization and ad display demand models that can react to users in real time and in an intelligent, contextual way.

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