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1.
基于位置的社会化网络推荐系统不仅能为用户提供移动性和社会化的信息服务,还能基于各类用户的不同需求,对信息实施过滤,为用户提供个性化的推荐服务,在国内外相关领域得到了日渐广泛的应用.简述了基于位置的社会化网络推荐系统的概念,分析了基于位置的社会化网络推荐系统的关键问题,以期为相关研究提供借鉴.  相似文献   

2.
围绕上下文感知推荐技术和社会化网络推荐技术的局限性展开研究,提出一种基于社会化网络环境下的名为HCCF的上下文感知协同过滤方法。在充分考虑上下文感知推荐系统实际问题的基础上,首先量化了不同维度的上下文对推荐系统所产生的影响,并在此基础上定义了上下文影响系数。在此基础上引入了社会化网络环境中不同用户之间的相互影响,并采用社会化网络用户信任度进行衡量,最后对上下文因素和社会化网络用户信任度进行综合考虑,提出一种新的相似度计算方法。理论分析和在真实数据集上的实验结果表明,相对于单纯基于上下文的系统过滤算法以及社会化网络推荐方法而言,该算法的准确性和推荐效率均得到一定程度的提升。  相似文献   

3.
移动推荐系统及其应用   总被引:1,自引:0,他引:1       下载免费PDF全文
近年来,移动推荐系统已成为推荐系统研究领域最为活跃的课题之一.如何利用移动上下文、移动社会化网络等信息进一步提高移动推荐系统的推荐精确度和用户满意度,成为移动推荐系统的主要任务.对最近几年移动推荐系统研究进展进行综述,对其关键技术、效用评价以及应用实践等进行前沿概括、比较和分析.最后,对移动推荐系统有待深入的研究难点和发展趋势进行分析和展望.  相似文献   

4.
对社会网络环境下构建个性化推荐系统的现有技术进行综述。介绍社会网络的基本概念,简述推荐系统的应用领域和目前面临的挑战,重点介绍社会化推荐的相关技术的研究现状,包括用户生成内容、社会化标签推荐、博客挖掘和基于信任的推荐,分析社会化推荐面临的主要问题。利用Web 2.0环境下的用户生成内容,为解决用户配置和冷启动问题提供一个研究方向。  相似文献   

5.
社会化推荐系统研究   总被引:19,自引:10,他引:9  
孟祥武  刘树栋  张玉洁  胡勋 《软件学报》2015,26(6):1356-1372
近年来,社会化推荐系统已成为推荐系统研究领域较为活跃的研究方向之一.如何利用用户社会属性信息缓解推荐系统中数据稀疏性和冷启动问题、提高推荐系统的性能,成为社会化推荐系统的主要任务.对最近几年社会化推荐系统的研究进展进行综述,对信任推理算法、推荐关键技术及其应用进展进行前沿概括、比较和分析.最后,对社会化推荐系统中有待深入研究的难点、热点及发展趋势进行展望.  相似文献   

6.
熊丽荣  刘坚  汤颖 《计算机科学》2016,43(9):255-260, 265
利用移动设备上下文、移动社会化网络等信息进一步提高推荐系统的预测准确率,并缓解可能存在的数据稀疏性和冷启动问题,已经成为移动推荐系统的主要任务。采用基于矩阵分解的因子分析方法,结合用户、服务和用户社会化网络信息进行服务推荐,可以缓解数据稀疏性和冷启动问题;同时,为了增加信任矩阵密度,引入间接信任关系,提出了一种符合移动社会化网络特点的信任度计算方法,该方法仅利用移动社会化网络结构信息构建信任矩阵,从而减少用户对信任关系的主动标识。实验结果表明,引入间接信任关系能够提高预测精度,同时 比传统的协同过滤算法和已有的一些矩阵分解方法具有更好的预测准确率,特别是在评分数据稀疏的情况下。  相似文献   

7.
后搜索引擎时代如何构建推荐系统来为用户提供准确的信息成为研究者关注的问题,而有效地利用社会化网络中的上下文信息已然是解决这一问题的一把钥匙。在本文中,我们提出了一种新的推荐模型,通过上下文相关,对社会化网络信息进行再加工,不同于一般上下文信息处理方法,我们通过随机决策树对传统"用户-项目"评价矩阵中评价相似的上下文信息进行区分,然后通过矩阵分解来预测用户的缺失偏好,同时,为了更加充分地利用社会化网络信息,我们将偏好相似用户可能的推荐进行量化,以影响矩阵分解目标函数的结果,以此达到精确推荐的目的,最终以此作为系统推荐。通过实验表明,本文提出的上下文相关推荐模型可获得更高的用户满意度。  相似文献   

8.
跨项目社会推荐是一种将社交关系整合到推荐系统中的方法。社会化推荐中包含用户-项目交互图和社交网络图,用户是连接这两个图的桥梁,其表示学习对提升社会化推荐的性能至关重要。然而,现有方法主要使用用户或项目的静态属性和社交网络中的显式朋友关系来进行表示学习,用户和项目交互的时序信息及隐式朋友关系未得到充分利用。因此,在社会化推荐中,如何有效利用时序信息和社交信息成为重要的研究课题之一。文中通过建模用户的隐式朋友和项目的社交属性,提出了一种新颖的基于高阶和时序特征的图神经网络社会化推荐算法(Graph Neural Networks Social Recommendation Based on High-order and Temporal Features)模型,简称HTGSR。HTGSR首先利用门控递归单元对基于项目的用户表征进行建模,以反映用户的近期动态偏好,并定义一个高阶建模单元来提取用户的高阶连通特征,挖掘用户的隐式朋友信息;其次利用注意力机制获取基于社交关系的用户表征;然后提出不同的项目社交网络的构建方式,并利用注意力机制来获取项目表征;最后将用户和项目的潜在表征输入到多层感知机,...  相似文献   

9.
王刚  蒋军  王含茹 《计算机科学》2018,45(Z11):37-42, 62
社会化推荐系统正随着互联社交网络的快速发展逐渐成为人们关注的热点问题。首先,介绍了社会化推荐的基础理论,阐述了社会化推荐的概念及基本框架,并在此基础上将其分类为面向个体的社会化推荐和面向群组的社会化推荐。接着,分别给出了面向个体和面向群组的社会化推荐的形式化定义,从个体和群组两个角度对社会化推荐系统的研究现状进行了综述。面向个体的社会化推荐主要包括基于评分预测的推荐方法和基于排序学习的推荐方法;面向群组的社会化推荐主要包括推荐方法的融合和推荐结果的融合。  相似文献   

10.
基于用户聚类的异构社交网络推荐算法   总被引:11,自引:0,他引:11  
相比传统的社交网络,基于弱关系的微博类社交网络具有显著的异构特征.根据特征可以将节点分为用户(消息订阅者)和主题(消息发布者)两类,面向用户推荐其感兴趣的主题成为了该类社交网络中推荐系统的主要目标之一,同时该类社交网络中普遍存在的数据稀疏性和冷启动现象成为了推荐系统面临的主要问题.文中提出一种基于两阶段聚类的推荐算法GCCR,将图摘要方法和基于内容相似度的算法结合,实现基于用户兴趣的主题推荐.与以往方法相比,该方法在稀疏数据和冷启动的情况下具有更好的推荐效果,此外,通过对数据集进行大量的离线处理,使得其较以往推荐方法具有更好的在线推荐效率.最后通过真实社交网络的数据对本方法进行了验证,同时分析了各参数对推荐效果的影响.  相似文献   

11.
Reflecting on a feasibility study into archiving social media, this article traces how “events” are defined in various domains and contexts, and employs case studies to analyze key relationships between hashtags and events to provide a critical analysis of how archival events can be constructed out of social events. It provides an overview of the archival and curatorial considerations involved in defining and preserving a social media event, and outlines the technologies developed for the process of collecting, annotating, and preserving social media events. Overall, the article endeavors to reveal how pragmatic considerations, computational approaches and curatorial perspectives shape digital archives and historical narratives.  相似文献   

12.
BBS中信息传播模式的特征分析   总被引:2,自引:1,他引:1       下载免费PDF全文
通过比较传染病传播机制与信息传播机制,提出BBS中的信息传播机制模型。通过对BBS中帖子数量变化规律的建模,分析了BBS中信息传播模式的特征,并使用实际数据说明BBS中的信息传播模式。实验表明:BBS可以吸引大批的用户参与,但用户只对部分话题感兴趣并参与讨论;绝大多数话题(占94.9%)帖子数的增长率先增加再减小直至为0,而少量话题(占5.1%)帖子数的增长率直接减小至0。这些结论有助于认识BBS的信息传播机制,对控制和管理BBS的信息传播有启发意义。  相似文献   

13.
The use of social media to share information, enhance learning, and connect with an online community has grown rapidly over the past 10 years. As social media becomes a more common tool in both formal and informal education, it is imperative to understand how it is used by individuals with disabilities. Through a systematic study of the literature, 215 articles on social media used by individuals with disabilities were selected and 29 selected for in-depth thematic analysis. Six major themes were identified: community, cyberbullying, self-esteem, self-determination, access to technology, and accessibility. To confirm these six categories, we expanded our search, yielding an additional 30 articles, for a total 59 articles reviewed in-depth. Interactions between individuals with disabilities within online communities often had the goal of acquiring knowledge or learning new information. A communities of practice theoretical framework is used to discuss interactions among the elements of social media design, learning, and the building of community by individuals with disabilities.  相似文献   

14.
网络实名制的提出,是为了解决网络匿名性所带来的问题,却又面临实名信息泄露的诟病。造成信息泄露的根源在于实名认证依赖于实名信息。基于社会认证的网络身份模型,依赖社会关系进行身份认证,其利用OSN节点的社会关系构建网络身份,在发挥网络监管作用的同时,避免实名信息的泄漏。模型首先在OSN中依据一定策略选择根节点;然后,采用担保方式进行社会认证;最后,在不依赖实名信息的基础上,构建节点的唯一网络身份SANI。SNAI身份含节点的社会认证信息,具有身份认证和行为溯源的功能。  相似文献   

15.
This paper explores the affordances of social technologies for supporting the construction of a shareable artefact by a group of learners. A qualitative study that captures the use of five different types of social technologies (Facebook, blogs, wikis, Google Documents and Dropbox) in three different classroom settings sheds light on the potentials and challenges of these tools for supporting material exploration, artefact construction and evaluation. Qualitative content analysis of instructors’ field notes, students’ and instructors’ reflections, interviews and focus groups sheds light on the potential of social technologies to transform the activity of learning across a new culture of computational tools. The affordances of social technologies are discussed as well as design principles that need to be followed in these new arenas.  相似文献   

16.
This study explores the relationship between perceived bridging social capital and specific Facebook‐enabled communication behaviors using survey data from a sample of U.S. adults (N=614). We explore the role of a specific set of Facebook behaviors that support relationship maintenance and assess the extent to which demographic variables, time on site, total and “actual” Facebook Friends, and this new measure (Facebook Relationship Maintenance Behaviors) predict bridging social capital. Drawing upon scholarship on social capital and relationship maintenance, we discuss the role of social grooming and attention‐signaling activities in shaping perceived access to resources in one's network as measured by bridging social capital.  相似文献   

17.
在社会网络的影响的测量在数据采矿社区收到了很多注意。影响最大化指发现尽量利用信息或产品采纳的有影响的用户的过程。在真实设置,在一个社会网络的一个用户的影响能被行动的集合建模(例如,份额,重新鸣叫,注释) 在其出版物以后由网络的另外的用户表现了。就我们的知识而言,在文学的所有建议模型同等地对待这些行动。然而,它是明显的一工具少些比一样的出版的份额影响的一份出版物相似。这建议每个行动有它影响的自己的水平(或重要性) 。在这份报纸,我们建议一个模型(叫的社会基于行动的影响最大化模型, SAIM ) 为在社会网络的影响最大化。在 SAIM,行动没在测量一个个人的影响力量同等地被考虑,并且它由二主要的步组成。在第一步,我们在社会网络计算每个个人的影响力量。这影响力量用 PageRank 从用户行动被计算。在这步的结束,我们得到每个节点被它的影响力量在标记的一个加权的社会网络。在 SAIM 的第二步,我们计算一个新概念说出 influence-BFS 树的使用的有影响的节点的一个最佳的集合。在大规模真实世界、合成的社会网络上进行的实验在计算揭示我们的模型 SAIM 的好表演,在可接受的时间规模,允许信息的最大的传播的有影响的节点的一个最小的集合。  相似文献   

18.
Posting behaviour on social networking sites (SNS) has become a method enabling unsatisfied users to vent emotions. Based on social cognition theory (SCT), personal outcome expectations and self-efficacy affect posting behaviour for venting emotions on SNS. However, perceived social support (PSS) may alter the relationships within the SCT model. Thus, this study aimed to explore the moderating effect of PSS on the relationships between variables in the SCT model for venting emotions on SNS. In total, 310 unsatisfied customers in Taiwan were investigated, and structural equation modelling was performed to test the hypotheses. The results indicated that personal outcome expectations and self-efficacy were positively associated with posting behaviour which, in turn, increased venting emotions on SNS. Moreover, PSS moderated the relationships between variables in the SCT model.  相似文献   

19.
Nowadays,more and more users share real-time news and information in micro-blogging communities such as Twitter,Tumblr or Plurk.In these sites,information is shared via a followers/followees social network structure in which a follower will receive all the micro-blogs from the users he/she follows,named followees.With the increasing number of registered users in this kind of sites,finding relevant and reliable sources of information becomes essential.The reduced number of characters present in micro-posts along with the informal language commonly used in these sites make it difficult to apply standard content-based approaches to the problem of user recommendation.To address this problem,we propose an algorithm for recommending relevant users that explores the topology of the network considering different factors that allow us to identify users that can be considered good information sources.Experimental evaluation conducted with a group of users is reported,demonstrating the potential of the approach.  相似文献   

20.
Increasing interactions and engagements in social networks through monetary and material incentives is not always feasible. Some social networks, specifically those that are built on the basis of fairness, cannot incentivize members using tangible things and thus require an intangible way to do so. In such networks, a personalized recommender could provide an incentive for members to interact with other members in the community. Behavior‐based trust models that generally compute social trust values using the interactions of a member with other members in the community have proven to be good for this. These models, however, largely ignore the interactions of those members with whom a member has interacted, referred to as “friendship effects.” Results from social studies and behavioral science show that friends have a significant influence on the behavior of the members in the community. Following the famous Spanish proverb on friendship “Tell Me Your Friends and I Will Tell You Who You Are,” we extend our behavior‐based trust model by incorporating the “friendship effect” with the aim of improving the accuracy of the recommender system. In this article, we describe a trust propagation model based on associations that combines the behavior of both individual members and their friends. The propagation of trust in our model depends on three key factors: the density of interactions, the degree of separation, and the decay of friendship effect. We evaluate our model using a real data set and make observations on what happens in a social network with and without trust propagation to understand the expected impact of trust propagation on the ranking of the members in the recommended list. We present the model and the results of its evaluation. This work is in the context of moderated networks for which participation is by invitation only and in which members are anonymous and do not know each other outside the community. Copyright © 2014 John Wiley & Sons, Ltd.  相似文献   

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