A Theoretical Framework for Online Information Search
Rohit Negi
TL;DR
This paper presents a theoretical framework modeling how online information requests are handled by experts, aiming to understand and improve the efficiency of online information search processes.
Contribution
It introduces a novel theoretical model for the dynamic process of online information search involving expert responses, filling a gap in existing research.
Findings
Provides a formal model of online information request handling
Analyzes the efficiency of expert-based search systems
Lays groundwork for optimizing online information retrieval
Abstract
A significant part of human activity today consists of searching for a piece of information online, utilizing knowledge repositories. This endeavor may be time-consuming if the individual searching for the information is unfamiliar with the subject matter of that information. However, experts can aid individuals find relevant information by searching online. This paper describes a theoretical framework to model the dynamic process by which requests for information come to a system of experts, who then answer the requests by searching for those pieces of information.
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Taxonomy
TopicsExpert finding and Q&A systems · Multi-Agent Systems and Negotiation · Machine Learning and Algorithms