智能移动终端在大学校园内的迅速普及,使得校园无线局域网被广泛部署于图书馆、食堂、教学楼、宿舍等区域,推进了信息化校园的建设,为师生的校园生活提供了极大的便利,与此同时大学校园积累了大量基于位置的社交网络(LBSNs, Location-Ba...智能移动终端在大学校园内的迅速普及,使得校园无线局域网被广泛部署于图书馆、食堂、教学楼、宿舍等区域,推进了信息化校园的建设,为师生的校园生活提供了极大的便利,与此同时大学校园积累了大量基于位置的社交网络(LBSNs, Location-Based Social Networks)数据,如何利用LBSNs进行学生兴趣点(POI, Point-of-Interest)推荐已经成为一个研究热点。校园地理信息的高可用性为提高个性化兴趣点推荐的性能提供了机会,提高POI推荐性能,应解决两个主要挑战:首先,如何利用地理信息来获取用户个人信息、地理坐标和位置流行度等信息;然后如何将地理信息纳入推荐算法中。本文使用一种基于校园地理信息的Logistic矩阵分解(CGLMF, Campus Geographic Information based Logistic Matrix Factorization) POI推荐算法,该算法利用学生个人信息和校园地理信息,通过考虑学生的主要活动区域和该区域每个POI的相关性,提出一种有效的地理信息模型,然后将地理信息模型融合到Logistic矩阵分解中以此提高POI推荐性能,在校园真实学生Wi-Fi签到数据集上进行实验,结果表明该方法优于其他POI推荐方法。展开更多
Despite their key role as model organisms in many behavioral studies, crustacean decapods have been only slightly touched upon by the recent surge of scientific interest in animal personality. Only seven articles inve...Despite their key role as model organisms in many behavioral studies, crustacean decapods have been only slightly touched upon by the recent surge of scientific interest in animal personality. Only seven articles investigated the issue in a handful of species among hermit crabs, crabs, and crayfish. Obviously, a limited number of publications does not mean that personality is rare in decapods. On the contrary, few studies might be the result of a form of reluctance by behavioral ecologists to deal with such a phenomenon in these and other invertebrates. This reluctance contrasts with the enthusiasm shown in tackling the beha- vioral plasticity issue. Here we discuss the possible theoretical and methodological difficulties raised by applying the animal per-sonality perspective to decapods and analyze implications of personality studies for their ecology, conservation, and welfare. By highlighting gaps in knowledge and directions of future research, our intention is to increase scientific emphasis on the issue.展开更多
文摘智能移动终端在大学校园内的迅速普及,使得校园无线局域网被广泛部署于图书馆、食堂、教学楼、宿舍等区域,推进了信息化校园的建设,为师生的校园生活提供了极大的便利,与此同时大学校园积累了大量基于位置的社交网络(LBSNs, Location-Based Social Networks)数据,如何利用LBSNs进行学生兴趣点(POI, Point-of-Interest)推荐已经成为一个研究热点。校园地理信息的高可用性为提高个性化兴趣点推荐的性能提供了机会,提高POI推荐性能,应解决两个主要挑战:首先,如何利用地理信息来获取用户个人信息、地理坐标和位置流行度等信息;然后如何将地理信息纳入推荐算法中。本文使用一种基于校园地理信息的Logistic矩阵分解(CGLMF, Campus Geographic Information based Logistic Matrix Factorization) POI推荐算法,该算法利用学生个人信息和校园地理信息,通过考虑学生的主要活动区域和该区域每个POI的相关性,提出一种有效的地理信息模型,然后将地理信息模型融合到Logistic矩阵分解中以此提高POI推荐性能,在校园真实学生Wi-Fi签到数据集上进行实验,结果表明该方法优于其他POI推荐方法。
文摘Despite their key role as model organisms in many behavioral studies, crustacean decapods have been only slightly touched upon by the recent surge of scientific interest in animal personality. Only seven articles investigated the issue in a handful of species among hermit crabs, crabs, and crayfish. Obviously, a limited number of publications does not mean that personality is rare in decapods. On the contrary, few studies might be the result of a form of reluctance by behavioral ecologists to deal with such a phenomenon in these and other invertebrates. This reluctance contrasts with the enthusiasm shown in tackling the beha- vioral plasticity issue. Here we discuss the possible theoretical and methodological difficulties raised by applying the animal per-sonality perspective to decapods and analyze implications of personality studies for their ecology, conservation, and welfare. By highlighting gaps in knowledge and directions of future research, our intention is to increase scientific emphasis on the issue.
