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Helping satisfy multiple objectives during a service desk conversation

Published: 09 June 2008 Publication History

Abstract

Agents manning a service desk have the unenviable task of satisfying multiple conflicting objectives. Specifically, businesses require the agents to meet pre-specified customer satisfaction levels while keeping the cost of operations low or meeting sales targets, objectives that end up being complementary. Additional complexity is introduced by the fact that the objectives are often inter-dependent and have to be met in real-time. Moreover, business might change the objectives from time to time e.g. from reducing cost of operation to increasing sales of slow moving product. In this paper, we describe CallAssist - a speech enabled real-time dialog management system that dynamically helps agents in building a conversation that meets the various business objectives while satisfying customer requirements. An added benefit of our solution is the ability to adapt to changing business needs without incurring agent re-training costs. We provide evaluation results displaying the efficiency and effectiveness of our system.

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  • (2011)Discovering customer intent in real-time for streamlining service desk conversationsProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063776(1383-1388)Online publication date: 24-Oct-2011

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cover image ACM Conferences
SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data
June 2008
1396 pages
ISBN:9781605581026
DOI:10.1145/1376616
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 June 2008

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Author Tags

  1. dialog systems
  2. preference elicitation
  3. real-time entity analytics

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SIGMOD/PODS '08
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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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  • (2011)Discovering customer intent in real-time for streamlining service desk conversationsProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063776(1383-1388)Online publication date: 24-Oct-2011

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