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Analysis of Information Retrieval in Call Center Documents - Case Study in Computer Solutions Bases.

Published: 17 May 2016 Publication History

Abstract

Call Centers aim to be more productive by performing a standard service for its customers. In order to accomplish this goal, it is used procedures, which contains a set of likely solutions. It must be stressed that the current engine uses a simplified Boolean model, and left the systems less consistent e slow with the Call Center needs. This research aims to figure out which information retrieval methods, e.g., vector or probabilistic, have better performance in a search engine.

References

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SILVEIRA, Sandra Maria; MOURA, Maria Aparecida. Scripts de atendimento em call centers: uma visao de documentos eletronicos. Encontros Bibli: revista eletronica de biblioteconomia e ciencia da informacao, v. 15, n. 29, p. 145-168, 2010.
[2]
SOUZA, Renato Rocha. Comparing three different techniques to retrieve documents using multiwords expressions.
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DA SILVA, Edson Marchetti; SOUZA, Renato Rocha. Comparing three different techniques to retrieve documents using multiwords expressions. In:10 CONTECSI. 2013.
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ANICK, Peter G. Integrating natural language processing and information retrieval in a troubleshooting help desk. IEEE expert, v. 8, n. 6, p. 9-17, 1993.
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XU, Lixin; CHEN, Guang; YANG, Lei. Incremental clustering in short text streams based on BM25. In: Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on. IEEE, 2014. p. 8-12.
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ESTEVA, Maria; BI, Hai. Inferring intra-organizational collaboration from cosine similarity distributions in text documents. In: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries. ACM, 2009. p. 385- 386.
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BIGDELI, Elnaz; BAHMANI, Zeinab. Comparing accuracy of cosine-based similarity and correlation-based similarity algorithms in tourism recommender systems. In: Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on. IEEE, 2008. p. 469-474.
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WIVES, Leandro K.; LOH, Stanley. Recuperacao de informacoes usando a expansao semantica e a logica difusa. In: Congreso Internacional En Ingenieria Informatica, ICIE. 1998.
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BAEZA-YATES, Ricardo et al. Modern information retrieval. New York: ACM press, 1999.
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PASQUALI, Luiz. A Curva Normal. 2006.

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Information & Contributors

Information

Published In

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SBSI '16: Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era - Volume 1
May 2016
615 pages
ISBN:9788576693178
  • General Chairs:
  • Frank Siqueira,
  • Patricia Vilain,
  • Program Chairs:
  • Claudia Cappelli,
  • Raul Sidnei Wazlawick

Sponsors

  • FAPESC: Santa Catarina State Research and Innovation Support Foundation
  • FAPEU: Foundation for the Support of University Research and Outreach
  • CAPES: Brazilian Higher Education Funding Council
  • CNPq: National Council for Technological and Scientific Development

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Publisher

Brazilian Computer Society

Porto Alegre, Brazil

Publication History

Published: 17 May 2016

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Author Tags

  1. Call Center
  2. Cosine Similarity Vector
  3. Information Retrieval
  4. Okapi BM25

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  • Research-article

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SBSI '16
Sponsor:
  • FAPESC
  • FAPEU
  • CAPES
  • CNPq
SBSI '16: Brazilian Symposium on Information Systems
May 17 - 20, 2016
Santa Catarina, Florianopolis, Brazil

Acceptance Rates

SBSI '16 Paper Acceptance Rate 80 of 244 submissions, 33%;
Overall Acceptance Rate 181 of 557 submissions, 32%

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