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基于分布式符号数据的混合推荐算法研究
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作者 钟乾 王仲君 《计算机仿真》 北大核心 2021年第3期470-475,共6页
传统的基于点数据的混合推荐算法鉴于用户偏好信息难以统筹而不能够从用户的角度建立模型,推荐的质量与效率受到影响。为能够更加具体的表征用户模型,以分布式符号数据为基础,建立用户积极子模型和消极子模型,通过分布式符号数据的距离... 传统的基于点数据的混合推荐算法鉴于用户偏好信息难以统筹而不能够从用户的角度建立模型,推荐的质量与效率受到影响。为能够更加具体的表征用户模型,以分布式符号数据为基础,建立用户积极子模型和消极子模型,通过分布式符号数据的距离度量计算出用户间的积极相似度和消极相似度,最后采用协同过滤算法为目标项目进行评分预测。将这种全新的混合推荐算法与传统推荐算法进行对比实验,结果表明,在一定的实验条件下,基于分布式符号数据的混合推荐算法优于传统的推荐算法。 展开更多
关键词 分布式符号数据 用户子模型 混合推荐 混合相似度
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Port Service Quality Study of Nigerian Sea Ports
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作者 Chinedum Onyemechi Azubuike Chibuzo Amanze +1 位作者 Chinemerem Igboanusi Abiodun Sule 《Journal of Shipping and Ocean Engineering》 2017年第2期59-64,共6页
This study is focused on service quality assessment in the Nigerian ports with Westem and Eastern port zones as study areas. It discovered the level of satisfaction derived by port users by evaluating expectations and... This study is focused on service quality assessment in the Nigerian ports with Westem and Eastern port zones as study areas. It discovered the level of satisfaction derived by port users by evaluating expectations and perceptions at the ports using some selected analysis tools to test raised hypothesis. This evaluation was based on the service quality model as developed by Parasuraman within the core dimensions of Empathy, Responsiveness, Tangibles, Reliability and Assurance. The attributes of expectations and perceptions raised within these dimensions were addressed with two hypotheses. H1 (Hypothesis one) and H2 (Hypothesis two) were addressed with the results of Factor Analysis which identified the significance port users attach to service quality dimensions and their respective attributes. 展开更多
关键词 Service quality PORT EXPECTATION perception.
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