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Optimal Scheduling in a Question-Answering Forum of Knowledge Workers

arXiv 2606.19759 ↗First posted 18 Jun 2026cs.AI cs.SIcited by 0

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Abstract (arXiv)

As individuals turn to the Internet to find answers to questions they may have, several Question Answering (QA) forums have evolved, where users knowledgeable in certain topics can contribute their expertise to answering these requests for information. While these are currently volunteer based, we consider a future version employing knowledge workers who are experts in certain topics. In such a system, the request-answer processes forming the queuing system may utilize schedulers that assign requests in different topics to the experts in the forum, who may be able to answer them according to their expertise levels in different topics. With this model, we calculate the capacity of the system for handling the requests while keeping the system stable, and design schedulers that achieve capacity. We also investigate how collaboration between experts in answering requests can potentially increase capacity.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 13 references that are in the map. First posted on arXiv 18 Jun 2026.

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References · 2

  1. 2019SemEval-2015 Task 3: Answer Selection in Community Question Answeringcited by 10
  2. 2018Effectiveness of Diffusing Information through a Social Network in Multiple Phasescited by 1

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