共查询到19条相似文献,搜索用时 156 毫秒
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为了适应环境和上下文信息的动态变化并提供适时适地的服务,Web服务组合要能满足处于动态变化环境中的个性化用户需求。文中提出了一个基于模板和上下文的语义Web服务组合框架,该框架使用抽象服务流程进行Web服务组合建模,利用本体来进行上下文信息建模并支持基于JESS的上下文信息推理,在原有基于语义的Web服务匹配的基础上,实时地感知上下文信息来进行Web服务动态绑定。该方法提高了服务组合的成功率和动态适应性,并且满足了用户的个性化需求。 相似文献
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活动感知计算通过提取分析出用户某种状态的复合信息减少用户交互,更好的无缝融合用户当前的上下文信息和周围的情景,从而逐渐成为上下文感知计算中一个新的研究热点。本文提出了一种能较为准确表达用户当前整体状态的复合信息概念——用户态,和一套感知、分析、推理其的系统模型。根据模型过滤后的个性化推荐服务内容更加准确,服务质量和使用效率得到进一步提高。 相似文献
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在新闻服务中引入用户上下文来实现个性化服务.通过定义用户上下文,利用基于事例的推理(CBR)方法,对基于用户新闻请求生成的问题事例进行推理,找到可用的事例,修改问题事例,经过新闻检索,实现个性化新闻服务,提高内容服务质量,优化检索结果,生成最大程度反映用户需求的新闻结果. 相似文献
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为了有效解决泛在网络环境下Web服务质量上下文描述问题,在OWL_S基础上提出了面向服务组合的复杂上下文本体模型-OWL_S_QoS+,包括用户上下文本体和服务上下文本体。用户上下文本体描述用户的环境状态、拥有的资源信息、用户需求及用户群组等对服务或组合服务运行产生影响的一系列属性;服务上下文本体在原有OWL_S定义的基础上,增加了服务对客户端与服务端的运行环境需求、不确定性QoS描述方法。通过模型比较验证了OWL_S_QoS+具有较强的描述能力。 相似文献
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Elena Baralis Luca Cagliero Tania Cerquitelli Paolo Garza Marco Marchetti 《Knowledge and Information Systems》2011,28(2):283-310
Context-aware systems acquire and exploit information on the user context to tailor services to a particular user, place,
time, and/or event. Hence, they allow service providers to adapt their services to actual user needs, by offering personalized
services depending on the current user context. Service providers are usually interested in profiling users both to increase
client satisfaction and to broaden the set of offered services. Novel and efficient techniques are needed to tailor service
supply to the user (or the user category) and to the situation in which he/she is involved. This paper presents the CAS-Mine framework to efficiently discover relevant relationships between user context data and currently asked services for both
user and service profiling. CAS-Mine efficiently extracts generalized association rules, which provide a high-level abstraction of both user habits and service
characteristics depending on the context. A lazy (analyst-provided) taxonomy evaluation performed on different attributes
(e.g., a geographic hierarchy on spatial coordinates, a classification of provided services) drives the rule generalization
process. Extracted rules are classified into groups according to their semantic meaning and ranked by means of quality indices,
thus allowing a domain expert to focus on the most relevant patterns. Experiments performed on three context-aware datasets,
obtained by logging user requests and context information for three real applications, show the effectiveness and the efficiency
of the CAS-Mine framework in mining different valuable types of correlations between user habits, context information, and provided services. 相似文献
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The mobile Internet introduces new opportunities to gain insight in the user’s environment, behavior, and activity. This contextual information can be used as an additional information source to improve traditional recommendation algorithms. This paper describes a framework to detect the current context and activity of the user by analyzing data retrieved from different sensors available on mobile devices. The framework can easily be extended to detect custom activities and is built in a generic way to ensure easy integration with other applications. On top of this framework, a recommender system is built to provide users a personalized content offer, consisting of relevant information such as points-of-interest, train schedules, and touristic info, based on the user’s current context. An evaluation of the recommender system and the underlying context recognition framework shows that power consumption and data traffic is still within an acceptable range. Users who tested the recommender system via the mobile application confirmed the usability and liked to use it. The recommendations are assessed as effective and help them to discover new places and interesting information. 相似文献
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个性化信息服务中基于Tag的用户兴趣模型 总被引:1,自引:0,他引:1
随着web信息爆炸增长,个性化信息服务成为人们研究的热点,用户兴趣建模是个性化服务的关键,针对当前用户建模的缺点和tag的广泛应用,对基于tag的用户兴趣建模进行研究,首先通过实验证明tag中蕴含用户稳定的兴趣及tag分布的其他特征,然后提出加权树形结构由粗到细的粒度表示用户模型,为提高服务时效性,对用户频繁一起使用的... 相似文献
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在目前流式应用分发系统中,客户端的移动应用分发都是依靠系统后台管理员人工操作或者简单地依靠位置信息为用户分发应用,没有考虑到用户在不同的情境活动下对应用的需求差异问题。针对上述问题,提出一种基于用户情境感知的流式应用推荐机制。该机制通过采集流式应用场景下用户的情境信息数据,利用机器学习Xgboost算法识别用户情境活动,并根据识别的用户情境来为用户推荐应用。同时,利用用户的反馈信息进一步提高用户个性化应用推荐的准确度。实验结果表明,Xgboost算法在准确率和时间开销上性能优于传统算法,在流式应用分发系统中有很高的实际应用价值。 相似文献
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服务推荐是服务计算中的主要问题之一,当前大多针对功能属性进行推荐,而在Web服务的QoS属性方面考虑较少,并且不支持动态变化的QoS属性。基于动态混合QoS的语义Web服务个性化推荐模型,把语义Web技术引入Web服务中,在QoS监控器下,有效监测Web服务的QoS属性变化并动态更新Web服务的QoS属性。根据建立的用户兴趣模型,向用户推荐具有个性化的Web服务。此外,在个性化推荐系统中使用最广泛的协同过滤推荐技术基础上,对数据进行了一系列的预处理填充,而且充分考虑了不同时间的项目评分对推荐的影响。结合用户兴趣度和用户评分的相似性计算方法,并通过不同的权值来表示它们的重要程度,综合计算目标用户的最近邻居集合,最终对用户u产生推荐。该系统在一定程度上提高了服务推荐的效率和准确度并满足用户查询需求。 相似文献
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Personalization and Context Management 总被引:1,自引:0,他引:1
Andreas Zimmermann Marcus Specht Andreas Lorenz 《User Modeling and User-Adapted Interaction》2005,15(3-4):275-302
Supporting the individual user in his working, learning, or information access is one of the main goals of user modeling.
Personal or group user models make it possible to represent and use information about preferences, knowledge, abilities, emotional
states, and many other characteristics of a user to adapt the user experience and support. Nowadays, the disappearing computer
enables the user to access her information from a variety of personal and public displays and devices. To support a new generation
of contextualized and personalized information and services, this paper addresses the problem of context management. Context management is a new approach to the design of context-aware systems in ubiquitous computing that combines personalization
and contextualization. The presented framework for context management integrates user modeling and context modeling, which
can benefit from each other and give rise to more valid models for personalized and contextualized information delivery. The
paper will introduce a base framework and tools for designing context-aware applications and decompose the underlying framework
into its foundational components. As two illustrative application cases, the paper discusses implementations of an intelligent
advertisement board and an audio-augmented museum environment. 相似文献