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Maria Soledad Pera, Yiu-Kai Ng
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
Empirical studies conducted using the Bookcrossing dataset show that BReK12 outperforms a number of existing recommenders (developed for general users) in identifying books appealing to K-12 users.  ...  To address this issue, we introduce BReK12, a recommender that targets K-12 users and prioritizes the reading level of its users in suggesting books of interest.  ...  CONCLUSION We have introduced BReK12, a book recommender tailored to K-12 users.  ... 
doi:10.1145/2348283.2348457 dblp:conf/sigir/PeraN12 fatcat:am3vkhznlnb3jn2tbn2so7flbm


Gabriella Kazai, Monica Landoni, Carsten Eickhoff, Peter Brusilovsky
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
BooksOnline'12, the fifth workshop in the series, aims to offer a forum for bringing together expertise from academia, industry and libraries to facilitate the exchange of research results and technology  ...  ; exploring open issues in audio-book production to support non-text based reading and improving e-book accessibility; new approaches to recommendation that take into account writing style as well as looking  ...  We would like to thank our keynote speakers and all the authors who submitted contributions and the PC members for their excellent work.  ... 
doi:10.1145/2396761.2398757 dblp:conf/cikm/KazaiLEB12 fatcat:bqz5gpmxybe47ojavqwb73j45m

Exploiting Visual Content of Book Front Cover to Aggrandize the Content Based Book Recommendation System

In this paper we propose a content-based filtering model for book recommender system by utilizing its overall textual features as well as visual features of its front cover.  ...  Content based recommendation model is one of the recommendation models which purely rely on product features and the current user preferences.  ...  In their later work they introduced BReK12, a unique recommender customized to K-12 readers, which makes personalized suggestions on books that satisfy both the preferences and reading capabilities of  ... 
doi:10.35940/ijitee.l3158.1081219 fatcat:ciqbxtlnvvaoxegmbmhbe3guie