Title
Probabilistic models of inverted file information retrieval systems
Abstract
In this paper, we study several probabilistic models of inverted file information retrieval systems. In particular, the portion of the system which performs the tasks of list accessing and merging is modeled. The average response times of the system for three different methods of managing the disk access and merge processor queues are discussed.
Year
DOI
Venue
1976
10.1145/800200.806179
SIGMETRICS
Keywords
Field
DocType
list accessing,disk access,probabilistic model,inverted file information retrieval,processor queue,different method,average response time,information retrieval system,linear programming,integer programming
Inverted index,Divergence-from-randomness model,Information retrieval,Computer science,Queue,Integer programming,Linear programming,Probabilistic logic,Merge (version control),Distributed computing
Conference
Citations 
PageRank 
References 
1
3.65
6
Authors
2
Name
Order
Citations
PageRank
Jane W.-S. Liu11399337.97
J. M. Milner297.54