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Recommending Books for Children Based on the Collaborative and Content-Based Filtering Approaches

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Computational Science and Its Applications -- ICCSA 2016 (ICCSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9789))

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Abstract

According to a study conducted by the National Institute of Child Health and Human Development, reading is the single most important skill necessary for a happy, productive, and successful life. A child who is an excellent reader often has confident and a high level of self esteem and can easily make the transition from learning to read to reading to learn. Promoting good reading habits among children is essential, given the enormous influence of reading on students’ development as learners and members of the society. Unfortunately, very few (children) websites or online applications recommend books to children, even though they can play a significant role in encouraging children to read. Popular book websites, such as goodreads.com, commonsensemedia.org, and readanybook.com, suggest books to children based on the popularity of books or rankings on books, which are not customized/personalized for each individual user and likely recommend books that users do not want or like. We have integrated the collaborative filtering (CF) approach and the content-based approach, in addition to predicting the grade levels of books, to recommend books for children. The user-based CF approaches filter books appealing to each user based on users’ ratings, whereas the content-based filtering method analyzes the descriptions of books rated by a user in the past and constructs a user profile to capture the user’s preferences. Recent research works have demonstrated that a hybrid approach, which combines the content-based filtering and CF approaches is more effective in making recommendations. Conducted empirical study has verified the effectiveness of our proposed children book recommender.

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Notes

  1. 1.

    http://www.deafed.net/publisheddocs/sub/9807kle.htm.

  2. 2.

    According to a report published by the Statistics Portal (http://www.statista.com/statistics/194700/us-book-production-by-subject-since-2002-juveniles/) there are 32,624 children books published in the U.S.A. in 2012 alone.

  3. 3.

    K-12, which is a term used in the educational system in the United States and Canada (among other countries), refers to the primary and secondary/high school years of public/private school grades prior to college. These grades are kindergarten (K) through \(12^{th}\) grades.

  4. 4.

    We have experimentally determined this range to ensure the suitability of the recommended books with respect to the reading level of the corresponding user.

  5. 5.

    From now on, unless stated otherwise, a document is treated as an item, such as a book.

  6. 6.

    Other datasets can be considered as long as they contain user_IDs, book ISBNs, and rating information.

  7. 7.

    http://lenskit.org/.

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Authors and Affiliations

  1. Computer Science Department, Brigham Young University, Provo, UT, 84602, USA

    Yiu-Kai Ng

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  1. Yiu-Kai Ng
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Correspondence to Yiu-Kai Ng .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing Univ. of Posts & Telecomm., Beijing, China

    Shangguang Wang

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Ng, YK. (2016). Recommending Books for Children Based on the Collaborative and Content-Based Filtering Approaches. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9789. Springer, Cham. https://doi.org/10.1007/978-3-319-42089-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-42089-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42088-2

  • Online ISBN: 978-3-319-42089-9

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