The joy of reading and the agony of choice. A selection of technologies for detecting and recommending books on the internet Cover Image

Przyjemność czytania, udręka wyboru. O niektórych technologiach wykrywalności i rekomendacji książek w sieci
The joy of reading and the agony of choice. A selection of technologies for detecting and recommending books on the internet

Author(s): Małgorzata Góralska
Subject(s): Language and Literature Studies, Sociology of Literature
Published by: Wydawnictwo Uniwersytetu Wrocławskiego
Keywords: Reading; publishing market; online visiblity ofbooks; positioning ofbooks (in search engine results); book recommendation systems

Summary/Abstract: Throughout the period of political transition (from communism), the Polish book market has seen a consistent growth in the number of titles on offer. In 2019, the National Library received samples of over 36 thousand published book titles, which included almost 10 thousand literary texts. If we take into account publications that were not transferred to the NL, copies from past years, or titles remaining in bookshops, antique shops, public libraries and private collections; we end up with a vast amount of literary content, which should allow for the needs of any and all readers to be met. In the face of this plentiful and varied selection, finding titles which will fulfil specific intellectual, emotional or aesthetic needs is thus becoming a considerable challenge for readers. The specifics of the modern publishing market also results in the companies who publish and distribute books have begun to look for increasingly algorithm-driven methods for delivering an assortment to their clients which matches their individual reading preferences. The goal of this paper is to discuss specific methods for the effective display of books online, and for delivering a personalized title offering to readers. The subject of the paper are so called „book recommendation systems”. The research methods used are analysis and critique of existing literature and analysis of online content (web pages). The end result of the research is to distinguish specific types of book recommendation systems.

  • Issue Year: 65/2021
  • Issue No: 1
  • Page Range: 253-269
  • Page Count: 17
  • Language: Polish