A Belief Network Model for IR

  title={A Belief Network Model for IR},
  author={Berthier A. Ribeiro-Neto and Richard R. Muntz},
We introduce a belief network model for IR which is derived from probabilistic considerations over a clearly defined sample space. This model subsumes the classical models in IR and generalizes the inference network model of Turtle and Croft. Further, we show how to extend the model with information from other queries (which we call contexts) to yield improved retrieval performance. 
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 238 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.
127 Citations
0 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 127 extracted citations

238 Citations

Citations per Year
Semantic Scholar estimates that this publication has 238 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…