Toward a new search paradigm-can we learn from ants?

Alessio Malizia; Kai A. Olsen

doi:10.1109/MC.2012.182

Toward a new search paradigm-can we learn from ants?

Alessio Malizia, Kai A. Olsen

Research output: Contribution to specialist publication › Article

3 Citations (Scopus)

Abstract

Modeling Web users as virtual ants offers a promising new solution to the challenge of information-retrieval optimization.

Original language	English
Pages	89-91
Number of pages	3
Volume	45
No.	5
Specialist publication	IEEE Computer
DOIs	https://doi.org/10.1109/MC.2012.182
Publication status	Published - 2012

Keywords

ant colony optimization
social computing
social search

Access to Document

10.1109/MC.2012.182

Cite this

@misc{8e0e254acd704bf6ad4d1744f66d8a2d,

title = "Toward a new search paradigm-can we learn from ants?",

abstract = "Modeling Web users as virtual ants offers a promising new solution to the challenge of information-retrieval optimization.",

keywords = "ant colony optimization, social computing, social search",

author = "Alessio Malizia and Olsen, {Kai A.}",

year = "2012",

doi = "10.1109/MC.2012.182",

language = "English",

volume = "45",

pages = "89--91",

journal = "IEEE Computer",