Personalized information retrieval based on context and ontological knowledge

  title={Personalized information retrieval based on context and ontological knowledge},
  author={Phivos Mylonas and David Vallet and Pablo Castells and Miriam Fern{\'a}ndez and Yannis S. Avrithis},
  journal={Knowledge Eng. Review},
Contextmodeling has long been acknowledged as a key aspect in a wide variety of problem domains. In this paper we focus on the combination of contextualization and personalization methods to improve the performance of personalized information retrieval. The key aspects in our proposed approach are (1) the explicit distinction between historic user context and live user context, (2) the use of ontology-driven representations of the domain of discourse, as a common, enriched representational… CONTINUE READING
Highly Cited
This paper has 112 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 44 extracted citations

112 Citations

Citations per Year
Semantic Scholar estimates that this publication has 112 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 50 references

Context in web search

  • S. Lawrence
  • IEEE Data Engineering Bulletin
  • 2000
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…