|
Title:
|
AUTOMATIC QUERY REWEIGHTING USING CO-OCCURRENCE GRAPHS |
|
Author(s):
|
Billel Aklouche, Ibrahim Bounhas and Yahya Slimani |
|
ISBN:
|
978-989-8533-95-1 |
|
Editors:
|
Hans Weghorn |
|
Year:
|
2019 |
|
Edition:
|
Single |
|
Keywords:
|
Query Reformulation, Query Reweighting, Co-occurrence Graph, BM25, Terms Discriminative Power, Ad-Hoc
Information Retrieval |
|
Type:
|
Full Paper |
|
First Page:
|
39 |
|
Last Page:
|
46 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Providing a relevant response to the user has always been challenging. Query reformulation methods have been widely
applied in an attempt to provide a better representation of the users query and thus improve retrieval performance. In this
paper, we present a new query reweighting method for document retrieval based on term co-occurrence graphs, which are
built using a context window-based approach over the entire corpus. We propose an adapted version of the
well-established Okapi BM25 model that allows identifying the most informative terms in the query and assigning them
optimal weights. This measure stands out by its ability to evaluate the discriminative power of terms from co-occurrence
graphs. Experimental results on two standard ad-hoc TREC collections show that our method improves both retrieval
effectiveness and robustness and outperforms the state-of-the-art baselines with significant margins. |
|
|
|
|
|
|
