Applying Short-term Memory to Social Search Agents

Repositori DSpace/Manakin

Mostra el registre parcial de l'element

dc.contributor.author Trias Mansilla, Albert
dc.contributor.author Sethserey, Sam
dc.contributor.author Rosa, Josep Lluís de la
dc.date.issued 2015
dc.identifier.issn 1877-0509
dc.identifier.uri http://hdl.handle.net/10256/14445
dc.description.abstract This paper presents about our research in social search. Generally, the research in social search falls into two principal challenges. The first challenge is how to find more relevant answers to the question. The second one is how to increase speed in finding relevant answers. Recently, we had provided two algorithms called Asknext and Question Waves to find more relevant answers compared to the baseline algorithm BFS. But, the search speed of the two proposed algorithms still the subject to improve. In this paper, we introduce the agents’ ability of learning the answers from the interactions with other agents so that they can quickly answer the question of other agents. We model this learning process by implementing the concept of data caching as the short-term memory of each social search agent. The result improvement of the speediness and the reduction of the number of messages used to communicate between agents, after apply agent's short-term memory concept, demonstrates the usefulness of the proposed approach
dc.description.sponsorship This work was supported in part by by the EU's 7FP under grant agreement no 316097, by the TIN2013-48040-R (QWAVES) Nuevos métodos de automatización de la búsqueda social basados en waves de preguntas, the IPT20120482430000 (MIDPOINT) Nuevos enfoques de preservación digital con mejor gestión de costes que garantizan su sostenibilidad, VirCoin2SME – num. H2020-MSCA-RISE SEP 210165853. Social, complementary or community virtual currencies transfer of knowledge to SME: a new era for competitiveness and entrepreneurship, and VISUAL AD, RTC-2014-2566-7 and GEPID, RTC-2014-2576-7, as well as the grup de recerca consolidat CSI-ref. 2014 SGR 1469
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation MINECO/PE 2014-2017/TIN2013-48040-R
dc.relation.isformatof Reproducció digital del document publicat a: https://doi.org/10.1016/j.procs.2015.09.237
dc.relation.ispartof Procedia Computer Science, 2015, vol. 68, p. 217-226
dc.relation.ispartofseries Articles publicats (D-EEEiA)
dc.rights Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject Sistemes multiagent
dc.subject Multiagent systems
dc.subject Xarxes socials
dc.subject Social networks
dc.title Applying Short-term Memory to Social Search Agents
dc.type info:eu-repo/semantics/article
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.embargo.terms Cap
dc.type.version info:eu-repo/semantics/publishedVersion
dc.identifier.doi https://doi.org/10.1016/j.procs.2015.09.237
dc.contributor.funder Ministerio de Economía y Competitividad (Espanya)


Text complet d'aquest document

 

Els següents fitxers sobre la llicència estan associats a aquest element:

Mostra el registre parcial de l'element

Documents relacionats

Cerca a DUGiDocs


Consulta

El meu compte

Estadístiques

Impacte

Aquest fitxer és restringit

El fitxer al qual voleu accedir és un element restringit i per veure'l heu de tenir permisos. Poseu-vos en contacte amb nosaltres per accedir al document.

  1. Ens posarem en contacte a l'adreça proporcionada.

Sol·licitar còpia a l'autor de l'article

En omplir aquest formulari esteu demanant una còpia de l'article dipositat al repositori institucional (DUGiDocs) al seu autor o a l'autor principal de l'article. Serà el mateix autor qui decideixi lliurar una còpia del document a qui ho sol•liciti si ho creu convenient. En tot cas, la Biblioteca de la UdG no intervé en aquest procés ja que no està autoritzada a facilitar articles quan aquests són d'accés restringit.