相似用户挖掘是提高社交网络服务质量的重要途径,在面向大数据的社交网络时代,准确的相似用户挖掘对于用户和互联网企业等都有重要的意义,而根据用户自己的兴趣话题挖掘的相似用户更符合相似用户的要求。提出了一种基于用户兴趣话题进...相似用户挖掘是提高社交网络服务质量的重要途径,在面向大数据的社交网络时代,准确的相似用户挖掘对于用户和互联网企业等都有重要的意义,而根据用户自己的兴趣话题挖掘的相似用户更符合相似用户的要求。提出了一种基于用户兴趣话题进行相似用户挖掘的方法。该方法首先使用TextRank话题提取方法对用户进行兴趣话题提取,再对用户发表内容进行训练,计算出所有词之间的相似度。提出CP(Corresponding Position similarity)、CPW(Corresponding Position Weighted similarity)、AP(All Position similarity)、APW(All Position Weighted similarity)四种用户兴趣话题词相似度计算方法,通过用户和相似用户间关注、粉丝重合率验证相似用户挖掘效果,APW similarity的相似用户的关注/粉丝重合百分比为1.687%,优于提出的其他三种算法,分别提高了26.3%、2.8%、12.4%,并且比传统的文本相似度方法 Jaccard相似度、编辑距离算法、余弦相似度分别提高了20.4%、21.2%、45.0%。因此APW方法可以更加有效地挖掘出用户的相似用户。展开更多
Background In mega-biodiverse environments,where different species are more likely to be heard than seen,species monitoring is generally performed using bioacoustics methodologies.Furthermore,since bird vocalizations ...Background In mega-biodiverse environments,where different species are more likely to be heard than seen,species monitoring is generally performed using bioacoustics methodologies.Furthermore,since bird vocalizations are reasonable estimators of biodiversity,their monitoring is of great importance in the formulation of conservation policies.However,birdsong recognition is an arduous task that requires dedicated training in order to achieve mastery,which is costly in terms of time and money due to the lack of accessibility of relevant information in field trips or even specialized databases.Immersive technology based on virtual reality(VR)and spatial audio may improve species monitoring by enhancing information accessibility,interaction,and user engagement.Methods This study used spatial audio,a Bluetooth controller,and a head-mounted display(HMD)to conduct an immersive training experience in VR.Participants moved inside a virtual world using a Bluetooth controller,while their task was to recognize targeted birdsongs.We measured the accuracy of recognition and user engagement according to the User Engagement Scale.Results The experimental results revealed significantly higher engagement and accuracy for participants in the VR-based training system than in a traditional computer-based training system.All four dimensions of the user engagement scale received high ratings from the participants,suggesting that VR-based training provides a motivating and attractive environment for learning demanding tasks through appropriate design,exploiting the sensory system,and virtual reality interactivity.Conclusions The accuracy and engagement of the VR-based training system were significantly high when tested against traditional training.Future research will focus on developing a variety of realistic ecosystems and their associated birds to increase the information on newer bird species within the training system.Finally,the proposed VR-based training system must be tested with additional participants and for a longer duration 展开更多
文摘相似用户挖掘是提高社交网络服务质量的重要途径,在面向大数据的社交网络时代,准确的相似用户挖掘对于用户和互联网企业等都有重要的意义,而根据用户自己的兴趣话题挖掘的相似用户更符合相似用户的要求。提出了一种基于用户兴趣话题进行相似用户挖掘的方法。该方法首先使用TextRank话题提取方法对用户进行兴趣话题提取,再对用户发表内容进行训练,计算出所有词之间的相似度。提出CP(Corresponding Position similarity)、CPW(Corresponding Position Weighted similarity)、AP(All Position similarity)、APW(All Position Weighted similarity)四种用户兴趣话题词相似度计算方法,通过用户和相似用户间关注、粉丝重合率验证相似用户挖掘效果,APW similarity的相似用户的关注/粉丝重合百分比为1.687%,优于提出的其他三种算法,分别提高了26.3%、2.8%、12.4%,并且比传统的文本相似度方法 Jaccard相似度、编辑距离算法、余弦相似度分别提高了20.4%、21.2%、45.0%。因此APW方法可以更加有效地挖掘出用户的相似用户。
文摘Background In mega-biodiverse environments,where different species are more likely to be heard than seen,species monitoring is generally performed using bioacoustics methodologies.Furthermore,since bird vocalizations are reasonable estimators of biodiversity,their monitoring is of great importance in the formulation of conservation policies.However,birdsong recognition is an arduous task that requires dedicated training in order to achieve mastery,which is costly in terms of time and money due to the lack of accessibility of relevant information in field trips or even specialized databases.Immersive technology based on virtual reality(VR)and spatial audio may improve species monitoring by enhancing information accessibility,interaction,and user engagement.Methods This study used spatial audio,a Bluetooth controller,and a head-mounted display(HMD)to conduct an immersive training experience in VR.Participants moved inside a virtual world using a Bluetooth controller,while their task was to recognize targeted birdsongs.We measured the accuracy of recognition and user engagement according to the User Engagement Scale.Results The experimental results revealed significantly higher engagement and accuracy for participants in the VR-based training system than in a traditional computer-based training system.All four dimensions of the user engagement scale received high ratings from the participants,suggesting that VR-based training provides a motivating and attractive environment for learning demanding tasks through appropriate design,exploiting the sensory system,and virtual reality interactivity.Conclusions The accuracy and engagement of the VR-based training system were significantly high when tested against traditional training.Future research will focus on developing a variety of realistic ecosystems and their associated birds to increase the information on newer bird species within the training system.Finally,the proposed VR-based training system must be tested with additional participants and for a longer duration
