CallAssist: Helping Call Center Agents in Preference Elicitation
Summary: CallAssist is a domain-independent system for real-time preference elicitation in call centers, grounding dialogue in structured back-end data. It adaptively proposes context-narrowing questions, reducing agent training needs and call duration. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Ullas Nambiar (IBM)
- 2. Himanshu Gupta (IBM)
- 3. Mukesh Mohania (IBM)
BibTeX Citation
@article{nambiar_vldb07,
title = {{CallAssist: Helping Call Center Agents in Preference Elicitation}},
author = {Nambiar, Ullas and Gupta, Himanshu and Mohania, Mukesh},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {1338},
year = {2007}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,561 | Helping Satisfy Multiple Objectives During a Service Desk Conversation | 2008 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,526 | Ordering the Attributes of Query Results | 2006 | SIGMOD | 0.00010491673 |
| 3,507 | Efficiently Linking Text Documents with Relevant Structured Information | 2006 | VLDB | 7.3574742e-05 |
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