Searchy: an agent to personalize search results

Ivan Marcialis, Emanuela De Vita
Third International Conference On Internet And Web Applications And Services, Volume -, Number -, page 512--517 - june 2008
User's behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information seeking tasks. In this paper we present a simple way to machine-learn user profile and employ it to improve Web searches. Searchy is a personal agent, embedded in the Web browser, able to sense user's tastes, to assist her/him during query formulation phase and, finally, to filter and sort the results according to the user's needs. Searchy uses the DART P2P network to store user's profiles in order to enable collaborative recommendations.

BibTex references

  author       = {Marcialis, I. and Vita, E.},
  title        = {Searchy: an agent to personalize search results},
  booktitle    = {Third International Conference On Internet And Web Applications And Services},
  number       = {-},
  volume       = {-},
  pages        = {512--517},
  month        = {june},
  year         = {2008},
  editor       = {A. Mellouk},
  publisher    = {Institute of Electrical and Electronics Engineers (IEEE)},
  organization = {IARIA},
  note         = {Authorized distributor of all IEEE proceedingsisbn: 9780769531632

idxproject: DART, NDA},
  keywords     = {ICT, Cooperative systems, feedback, information retrieval, user modeling},
  url          = {

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