Exploiting social media and tagging for social book search: Simple query methods for retrieval optimization

Faten Hamad*, Bashar Al-Shboul

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

With web and social media information availability and accessibility increasing on the one hand, there is an increased complexity of retrieval on the other. Generally, real information needs are complex to express. Books are the prevailing information resources and book searching is one of the online activities that users attempt daily. Mobile technology makes it easy to handle books, i.e., ibook and kindle formats; however, locating users' preference over the Internet is still quite complex. Efforts are being made to help users locate their desired books easily and quickly. This research is set up to investigate techniques to support users in searching and navigating the full texts of digitized books and complementary social media in order to enhance the user book search experience. The idea is based on the INEX SBS track to use professional metadata and user-generated metadata to enhance the retrieval process of books by optimizing simple search query with INEX SBS 2015. Amazon and LibraryThing book descriptions were processed to extract information and important fields to be indexed. The proposed model use the Named Entity Recognition tagger (NER) and the Part-Of-Speech tagger (POS) to extract relevant topics that are related to book search. The results indicated that using simple methods such as NER and POS tagging can generate an effective query for book retrieval.

Original languageEnglish
Title of host publicationSocial Media Shaping e-Publishing and Academia
PublisherSpringer International Publishing
Pages107-117
Number of pages11
ISBN (Electronic)9783319553542
ISBN (Print)9783319553535
DOIs
Publication statusPublished - Apr 1 2017
Externally publishedYes

Keywords

  • E-publishing
  • INEX
  • Social book search
  • Social media
  • Social tagging
  • User-generated metadata

ASJC Scopus subject areas

  • General Social Sciences
  • General Computer Science
  • General Arts and Humanities

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