TY - GEN
T1 - A new probabilistic ranking model
AU - Connor, Richard
AU - Moss, Robert
AU - Harvey, Morgan
PY - 2013/10/30
Y1 - 2013/10/30
N2 - Over the years a number of models have been introduced as solutions to the central IR problem of ranking documents given textual queries. Here we define another new model. It is a probabilistic model and has no term inter-dependencies, thus allowing calculation from inverted indices. It is based upon a simple core hypothesis, directly calculating a ranking score in terms of probability theory. Early results show that its performance is credible, even in the absence of parameters or heuristics. Its semantic basis gives absolute results, allowing different rankings to be compared with each other. The investigation of this model is at a very early stage; here, we simply propose the model for further investigation.
AB - Over the years a number of models have been introduced as solutions to the central IR problem of ranking documents given textual queries. Here we define another new model. It is a probabilistic model and has no term inter-dependencies, thus allowing calculation from inverted indices. It is based upon a simple core hypothesis, directly calculating a ranking score in terms of probability theory. Early results show that its performance is credible, even in the absence of parameters or heuristics. Its semantic basis gives absolute results, allowing different rankings to be compared with each other. The investigation of this model is at a very early stage; here, we simply propose the model for further investigation.
KW - Information retrieval
KW - Jensen-Shannon Divergence
KW - Probabilistic retrieval
KW - Ranking
UR - http://www.scopus.com/inward/record.url?scp=84886443394&partnerID=8YFLogxK
U2 - 10.1145/2499178.2499185
DO - 10.1145/2499178.2499185
M3 - Conference contribution
AN - SCOPUS:84886443394
SN - 9781450321075
T3 - ACM International Conference Proceeding Series
SP - 109
EP - 112
BT - International Conference on the Theory of Information Retrieval, ICTIR 2013 Proceedings
T2 - 4th International Conference on the Theory of Information Retrieval, ICTIR 2013
Y2 - 29 September 2013 through 2 October 2013
ER -