Smart Book Recommender Evaluation Data

This compressed zip file contains all the data regarding the evaluation study of the Smart Book Recommender (SBR). SBR is a semantically enhanced recommendation engine, developed in collaboration with Springer Nature (SN), for suggesting Springer books, journals and conference proceedings for conferences. SBR characterises conferences in terms of the topics covered in their proceedings and applying cosine pairwise similarity computation to produce a set of recommendations. We evaluated SBR on Springer conference series in the field of Computer Science with the help of seven publishing editors and seven researchers from The Open University. The evaluation consisted of two parts: 1) A quantitative analysis, which focused on analysing how evaluators rated each SBR recommendations for two conference series of their choosing.2) A qualitative analysis, which focused on analysing the answers of the surveys that the evaluators completed after a hands-on session with SBR. This compressed file contains the following two CSV files: i) Quantitative - Recommendation Ratings, and ii) Qualitative - Survey Responses. Below we describe the datasets.

本压缩ZIP文件包含智能图书推荐系统（Smart Book Recommender，SBR）评估研究的全部相关数据。SBR是与施普林格自然（Springer Nature，简称SN）合作开发的语义增强型推荐引擎，用于为会议推荐施普林格旗下的图书、期刊及会议论文集。该系统通过分析会议论文集所涵盖的主题特征，并应用余弦两两相似度计算，生成推荐结果集合。
本次评估依托计算机科学领域的施普林格会议系列展开，由开放大学（The Open University）的7名出版编辑与7名研究人员共同参与完成。评估包含两部分内容：1）定量分析：聚焦评估人员对其自选的两个会议系列的各条SBR推荐结果的评分情况；2）定性分析：聚焦分析评估人员在完成SBR实操体验后填写的调查问卷回复内容。
本压缩文件包含以下两个CSV文件：i）定量分析数据集——推荐评分表，ii）定性分析数据集——调查问卷回复表。下文将对各数据集进行详细说明。