Evaluating Document Retrieval Methods for Resource Selection in Clustered P2P IR

Rami Suleiman Alkhawaldeh, Joemon M. Jose, Deepak Padmanabhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Resource Selection (or Query Routing) is an important step in P2P IR. Though analogous to document retrieval in the sense of choosing a relevant subset of resources, resource selection methods have evolved independently from those for document retrieval. Among the reasons for such divergence is that document retrieval targets scenarios where underlying resources are semantically homogeneous, whereas peers would manage diverse content. We observe that semantic heterogeneity is mitigated in the clustered 2-tier P2P IR architecture resource selection layer by way of usage of clustering, and posit that this necessitates a re-look at the applicability of document retrieval methods for resource selection within such a framework. This paper empirically benchmarks document retrieval models against the state-of-the-art resource selection models for the problem of resource selection in the clustered P2P IR architecture, using classical IR evaluation metrics. Our benchmarking study illustrates that document retrieval models significantly outperform other methods for the task of resource selection in the clustered P2P IR architecture. This indicates that clustered P2P IR framework can exploit advancements in document retrieval methods to deliver corresponding improvements in resource selection, indicating potential convergence of these fields for the clustered P2P IR architecture.
Original languageEnglish
Title of host publicationCIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery (ACM)
Pages2073-2076
Number of pages4
ISBN (Print)9871450340731
DOIs
Publication statusPublished - 28 Oct 2016
EventACM International Conference on Information and Knowledge Management - Indianapolis, United States
Duration: 24 Oct 201628 Oct 2016
http://cikm2016.cs.iupui.edu/

Conference

ConferenceACM International Conference on Information and Knowledge Management
Abbreviated titleCIKM 2016
CountryUnited States
Period24/10/201628/10/2016
Internet address

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  • Cite this

    Alkhawaldeh, R. S., Jose, J. M., & Padmanabhan, D. (2016). Evaluating Document Retrieval Methods for Resource Selection in Clustered P2P IR. In CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (pp. 2073-2076). Association for Computing Machinery (ACM). https://doi.org/10.1145/2983323.2983912