In this paper the task of Information Foraging (IF) is considered as a useful paradigm to address Exploratory Search. In the context of IF, aWeb navigation strategy is introduced and formalized, and a multiagent based model is proposed to exploit a collaborative approach to Information Foraging. A system based on this model has been developed, and its evaluations on the ACM and DBLP repositories are reported. Two datasets with different sizes were considered to show the effectiveness and the efficiency of the developed system. Furthermore, comparative evaluations were conducted in order to compare our approach with classical information access approaches. The results are promising and show the ability of the proposedWeb Information Foraging system to find relevant Web pages in a very short time.

Drias, Y., Pasi, G. (2017). A collaborative approach to web information foraging based on multi-Agent systems. In Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 (pp.365-371). 1515 BROADWAY, NEW YORK, NY 10036-9998 USA : Association for Computing Machinery, Inc [10.1145/3106426.3106533].

A collaborative approach to web information foraging based on multi-Agent systems

DRIAS, YASSINE;Pasi, G
2017

Abstract

In this paper the task of Information Foraging (IF) is considered as a useful paradigm to address Exploratory Search. In the context of IF, aWeb navigation strategy is introduced and formalized, and a multiagent based model is proposed to exploit a collaborative approach to Information Foraging. A system based on this model has been developed, and its evaluations on the ACM and DBLP repositories are reported. Two datasets with different sizes were considered to show the effectiveness and the efficiency of the developed system. Furthermore, comparative evaluations were conducted in order to compare our approach with classical information access approaches. The results are promising and show the ability of the proposedWeb Information Foraging system to find relevant Web pages in a very short time.
slide + paper
Collaborative search; Multi-Agent systems; Web information foraging;
Collaborative search; Multi-Agent systems; Web information foraging; Computer Networks and Communications; Artificial Intelligence; Software
English
16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
2017
Drias, Yassine; Pasi, Gabriella
Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
9781450349512
2017
365
371
none
Drias, Y., Pasi, G. (2017). A collaborative approach to web information foraging based on multi-Agent systems. In Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 (pp.365-371). 1515 BROADWAY, NEW YORK, NY 10036-9998 USA : Association for Computing Machinery, Inc [10.1145/3106426.3106533].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/187628
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
Social impact