Wasp: A multi-agent system for multiple recommendations problem

Satchidananda Dehuri, Sung Bae Cho, Ashish Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper proposed a multi-agent system using the social status of wasp to solve the problem of multiple simultaneous personalized recommendations (MSPRs). This problem occurs when several personalized campaigns are conducting simultaneously. The aim of this paper is two fold: i) to mimic the behavior of a wasp colony in nature for designing a robust bioinspired algorithm and in the sequel strengthening the field of natural computing, and ii) using the collective intelligence of wasps to solve the NP-hard problem like multiple recommendations problem. The solution of MSPRs can be a new generation tool for recommendation system of e-commerce by replacing independent personalized recommendations.

Original languageEnglish
Title of host publicationProceedings - International Conference on Next Generation Web Services Practices, NWeSP 2008
Pages159-166
Number of pages8
DOIs
Publication statusPublished - 2008
EventInternational Conference on Next Generation Web Services Practices, NWeSP 2008 - Seoul, Korea, Republic of
Duration: 2008 Oct 202008 Oct 22

Publication series

NameProceedings - International Conference on Next Generation Web Services Practices, NWeSP 2008

Other

OtherInternational Conference on Next Generation Web Services Practices, NWeSP 2008
CountryKorea, Republic of
CitySeoul
Period08/10/2008/10/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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