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.
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References
Lee Kim HG, Kim HJ (2012) A social inverted index for social-tagging-based information retrieval. J Inf Sci 38(4):313–332. doi:10.1177/0165551512438357
Amazon. http://www.amazon.com. Accessed 29 Feb 2016
LibraryThing. https://www.librarything.com/about. Accessed 29 Feb 2016
Koolen M, Kamps J, Kazai G (2012) Social book search: comparing topical relevance judgements and book suggestions for evaluation. In: Proceedings of the 21st ACM international conference on information and knowledge management (CIKM’12). ACM. New York, USA, pp 185–194. doi:http://dx.doi.org/10.1145/2396761.2396788
Koolen M, Kazai G, Kamps J, Doucet A and Landoni M (2011) Overview of the INEX 2011 books and social search track. In: Focused retrieval of content and structure 2011, Dec 12, Springer, Heidelberg, pp 1–29
Zhang BW, Yin XC, Cui XP, Qu J, Geng B, Zhou F, Hao HW (2014) USTB at INEX2014: social book search track. In: Fourth international conference of the cross-language evaluation forum (CLEF, working notes), pp 536–542
Lu C, Jung-ran P, Hu X (2010) User tags versus expert-assigned subject terms: a comparison of librarything tags and library of congress subject headings. J Inf Sci 36(6):763–779
INEX: About INEX. http://inex.mmci.uni-saarland.de/about.html. (2014, Accessed 15 July 2015)
Koolen M, Kazai G, Kamps J, Preminger M, Doucet A, Landoni M (2015) Overview of the INEX 2012 social book search track. http://e.humanities.uva.nl/publications/2012/kool:over12b.pdf. Accessed 15 July 2015
Koolen M, Kazai G, Preminger M, Doucet A (2013) Overview of the INEX 2013 social book search track. In: Information access evaluation meets multilinguality, multimodality, and visualization-fourth international conference of the cross-language evaluation forum, CLEF 2013, p 26
Bogers T, Koolen M, Kamps J et al (2014) Overview of the INEX 2014 social book search track. In: Conference and labs of the evaluation forum, pp 462–479
Koolen M, Bogers T, Kamps J (2015) Overview of the INEX 2015 social book search suggestion track. Online reference. In: Conference and labs of the evaluation forum. http://social-book-search.humanities.uva.nl/#/publications. Accessed 16 July 2015
Ravva V, Singampalli LL, Krishna V, Thotempudi VK, Crouch CJ (Date required) A methodology for social book search
Koolen M, Bogers T, van den Bosch A et al (2015) Looking for books in social media: an analysis of complex search requests. In: 37th European conference on IR research, ECIR 2015, 29 March – 2 April, Vienna, Austria, pp 184–196
Kumar R, Pal S (2014) Social book search track: ISM@ INEX’14 suggestion task. In: Fourth international conference of the cross-language evaluation forum (CLEF, working notes), pp 521–524
Wu SH, Liao PK, Lin HW, Hsu LJ, Xiao WL, Chen LP and Chen GD (2014) Query type recognition and result filtering in INEX 2014 social book search track. In: Fourth international conference of the cross-language evaluation forum (CLEF, working notes), pp 525–535
Thotempudi VK (2014) A recommender system for social book search. Ph.D. thesis, University of Minnesota, USA
Singampalli LL (2014)Â Social book search: a methodology that combines both retrieval and recommendation. Ph.D. thesis, University of Minnesota, USA
Lemur. http://www.lemurproject.org/about.php. Accessed 27 July 2015
Lemur. http://www.lemurproject.org/indri/. Accessed 27 July 2015
The stanford natural language processing group. Stanford named entity recognizer (NER). http://nlp.stanford.edu/software/CRF-NER.shtm. Accessed 25 July 2015
The stanford natural language processing group. Stanford log-linear part-of-speech tagger. http://nlp.stanford.edu/software/tagger.shtml. Accessed 25 July 2015
Zuva K and Zuva T (2012) Evaluation of information retrieval systems. Int J Comput Sci Inf Technol IJCSIT 4(3)
Baeza-Yatez R, Robeiro-Neto B (2011) Modern information retrieval, 2nd edn. Addison Wesely Longman, Essex, pp 135–141
Trec-Eval. http://trec.nist.gov/trec_eval/. Accessed 25 July 2015
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Hamad, F., Al-Shboul, B. (2017). Exploiting Social Media and Tagging for Social Book Search: Simple Query Methods for Retrieval Optimization. In: Taha, N., Al-Sayyed, R., Alqatawna, J., Rodan, A. (eds) Social Media Shaping e-Publishing and Academia. Springer, Cham. https://doi.org/10.1007/978-3-319-55354-2_9
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DOI: https://doi.org/10.1007/978-3-319-55354-2_9
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