BReK12: A book recommender for K-12 users

Maria Soledad Pera; Yiu Kai Ng

doi:10.1145/2348283.2348457

BReK12: A book recommender for K-12 users

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

Abstract

Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the readability levels of their users, and hence their recommendations may be unsuitable for the 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. 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.

Original language	English
Title of host publication	SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages	1037-1038
Number of pages	2
DOIs	https://doi.org/10.1145/2348283.2348457
Publication status	Published - 2012
Externally published	Yes
Event	35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 - Portland, OR, United States Duration: 12 Aug 2012 → 16 Aug 2012

Conference

Conference	35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012
Country/Territory	United States
City	Portland, OR
Period	12/08/12 → 16/08/12

Keywords

book
k-12
readability
recommendation system

Access to Document

10.1145/2348283.2348457

Cite this

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title = "BReK12: A book recommender for K-12 users",

abstract = "Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the readability levels of their users, and hence their recommendations may be unsuitable for the 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. 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.",

keywords = "book, k-12, readability, recommendation system",

author = "Pera, {Maria Soledad} and Ng, {Yiu Kai}",

year = "2012",

doi = "10.1145/2348283.2348457",

language = "English",

isbn = "9781450316583",

pages = "1037--1038",

booktitle = "SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval",

note = "35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 ; Conference date: 12-08-2012 Through 16-08-2012",

}

Pera, MS & Ng, YK 2012, BReK12: A book recommender for K-12 users. in SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 1037-1038, 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012, Portland, OR, United States, 12/08/12. https://doi.org/10.1145/2348283.2348457

TY - GEN

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T2 - 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012

AU - Pera, Maria Soledad

AU - Ng, Yiu Kai

PY - 2012

Y1 - 2012

N2 - Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the readability levels of their users, and hence their recommendations may be unsuitable for the 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. 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.

AB - Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the readability levels of their users, and hence their recommendations may be unsuitable for the 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. 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.

KW - book

KW - k-12

KW - readability

KW - recommendation system

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M3 - Conference contribution

AN - SCOPUS:84866611367

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EP - 1038

BT - SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 12 August 2012 through 16 August 2012

ER -

BReK12: A book recommender for K-12 users

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