Nootropia : a user profiling model based on a self-organising term network

Nikolaos Nanas; Victoria S. Uren; Anne de Roeck

doi:10.1007/978-3-540-30220-9_12

Nootropia : a user profiling model based on a self-organising term network

Nikolaos Nanas, Victoria S. Uren, Anne de Roeck

Operations & Information Management

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Artificial Immune Systems are well suited to the problem of using a profile representation of an individual’s or a group’s interests to evaluate documents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user’s multiple interests and can adapt to both short-term variations and substantial changes in them. This allows Nootropia to drift, constantly following changes in the user’s multiple interests, and, thus, to become structurally coupled to the user.

Original language	English
Title of host publication	Artificial immune systems
Subtitle of host publication	third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings
Editors	Giuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley, Jon Timmis
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	146-160
Number of pages	15
ISBN (Electronic)	978-3-540-30220-9
ISBN (Print)	978-3-540-23097-7
DOIs	https://doi.org/10.1007/978-3-540-30220-9_12
Publication status	Published - 2004
Event	3rd International Conference on Artificial Immune Systems - Catania, Italy Duration: 12 Sept 2004 → 16 Sept 2004

Publication series

Name	Lecture Notes in Computer Science
Publisher	Spinger
Volume	3239
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Artificial Immune Systems
Abbreviated title	ICARIS 2004
Country/Territory	Italy
City	Catania
Period	12/09/04 → 16/09/04

Access to Document

10.1007/978-3-540-30220-9_12

Cite this

Nanas, N., Uren, V. S., & de Roeck, A. (2004). Nootropia : a user profiling model based on a self-organising term network. In G. Nicosia, V. Cutello, P. J. Bentley, & J. Timmis (Eds.), Artificial immune systems: third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings (pp. 146-160). (Lecture Notes in Computer Science; Vol. 3239). Springer. https://doi.org/10.1007/978-3-540-30220-9_12

Nanas, Nikolaos ; Uren, Victoria S. ; de Roeck, Anne. / Nootropia : a user profiling model based on a self-organising term network. Artificial immune systems: third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings. editor / Giuseppe Nicosia ; Vincenzo Cutello ; Peter J. Bentley ; Jon Timmis. Berlin (DE) : Springer, 2004. pp. 146-160 (Lecture Notes in Computer Science).

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title = "Nootropia : a user profiling model based on a self-organising term network",

abstract = "Artificial Immune Systems are well suited to the problem of using a profile representation of an individual{\textquoteright}s or a group{\textquoteright}s interests to evaluate documents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user{\textquoteright}s multiple interests and can adapt to both short-term variations and substantial changes in them. This allows Nootropia to drift, constantly following changes in the user{\textquoteright}s multiple interests, and, thus, to become structurally coupled to the user.",

author = "Nikolaos Nanas and Uren, {Victoria S.} and {de Roeck}, Anne",

year = "2004",

doi = "10.1007/978-3-540-30220-9_12",

language = "English",

isbn = "978-3-540-23097-7",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "146--160",

editor = "Giuseppe Nicosia and Vincenzo Cutello and Bentley, {Peter J.} and Jon Timmis",

booktitle = "Artificial immune systems",

address = "Germany",

note = "3rd International Conference on Artificial Immune Systems, ICARIS 2004 ; Conference date: 12-09-2004 Through 16-09-2004",

}

Nanas, N, Uren, VS & de Roeck, A 2004, Nootropia : a user profiling model based on a self-organising term network. in G Nicosia, V Cutello, PJ Bentley & J Timmis (eds), Artificial immune systems: third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings. Lecture Notes in Computer Science, vol. 3239, Springer, Berlin (DE), pp. 146-160, 3rd International Conference on Artificial Immune Systems, Catania, Italy, 12/09/04. https://doi.org/10.1007/978-3-540-30220-9_12

Nootropia : a user profiling model based on a self-organising term network. / Nanas, Nikolaos; Uren, Victoria S.; de Roeck, Anne.
Artificial immune systems: third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings. ed. / Giuseppe Nicosia; Vincenzo Cutello; Peter J. Bentley; Jon Timmis. Berlin (DE): Springer, 2004. p. 146-160 (Lecture Notes in Computer Science; Vol. 3239).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Nootropia : a user profiling model based on a self-organising term network

AU - Nanas, Nikolaos

AU - Uren, Victoria S.

AU - de Roeck, Anne

PY - 2004

Y1 - 2004

N2 - Artificial Immune Systems are well suited to the problem of using a profile representation of an individual’s or a group’s interests to evaluate documents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user’s multiple interests and can adapt to both short-term variations and substantial changes in them. This allows Nootropia to drift, constantly following changes in the user’s multiple interests, and, thus, to become structurally coupled to the user.

AB - Artificial Immune Systems are well suited to the problem of using a profile representation of an individual’s or a group’s interests to evaluate documents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user’s multiple interests and can adapt to both short-term variations and substantial changes in them. This allows Nootropia to drift, constantly following changes in the user’s multiple interests, and, thus, to become structurally coupled to the user.

UR - http://link.springer.com/chapter/10.1007%2F978-3-540-30220-9_12

U2 - 10.1007/978-3-540-30220-9_12

DO - 10.1007/978-3-540-30220-9_12

M3 - Conference publication

SN - 978-3-540-23097-7

T3 - Lecture Notes in Computer Science

SP - 146

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BT - Artificial immune systems

A2 - Nicosia, Giuseppe

A2 - Cutello, Vincenzo

A2 - Bentley, Peter J.

A2 - Timmis, Jon

PB - Springer

CY - Berlin (DE)

T2 - 3rd International Conference on Artificial Immune Systems

Y2 - 12 September 2004 through 16 September 2004

ER -

Nanas N, Uren VS, de Roeck A. Nootropia : a user profiling model based on a self-organising term network. In Nicosia G, Cutello V, Bentley PJ, Timmis J, editors, Artificial immune systems: third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings. Berlin (DE): Springer. 2004. p. 146-160. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-30220-9_12

Nootropia : a user profiling model based on a self-organising term network

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Nootropia : a user profiling model based on a self-organising term network

Abstract

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Supervising Doctoral Students

Cite this