Snippet-based result merging in federated search

Author:

Garba Adamu1ORCID,Wu Shangli1

Affiliation:

1. School of Computer Science and Communication Engineering, Jiangsu University, China

Abstract

In federated search, the central broker simultaneously forwards the search query to multiple resources. The returned results from those resources are then merged into a single ranked list. An autonomous resource in a federated search system usually does not provide scores for the retrieved documents; even if some of them do, scores from different resources are incomparable due to the heterogeneity in many aspects of those resource involved such as retrieval models and corpus statistics. Many results merging approaches have been proposed in the literature to deal with this problem. However, to the best of our knowledge, none of them has utilised snippets. This article proposes a snippet-based weighting scheme for the query terms involved. It quantifies the importance of each query term from two angles: the frequency of the term and the part in which the term occurs inside a snippet. Three parts – which are URL, title, and description – are given different weights. Experiments are conducted with the TREC 2013 FedWeb data set. The results show that the proposed methods consistently outperform several baseline models. We also find in many instances, a further small slight performance improvement is achievable by an extra measure of weighting each of the resources involved, which can be done in the phase of resource selection.

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Utilizing Ant Colony Optimization for Result Merging in Federated Search;Engineering, Technology & Applied Science Research;2024-08-02

2. Federated search techniques: an overview of the trends and state of the art;Knowledge and Information Systems;2023-07-10

3. Understanding the impact of query expansion on federated search;Multimedia Tools and Applications;2023-06-21

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