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1.
Personalization and context-awareness are highly important topics in research on Intelligent Information Systems. In the fields of Music Information Retrieval (MIR) and Music Recommendation in particular, user-centric algorithms should ideally provide music that perfectly fits each individual listener in each imaginable situation and for each of her information or entertainment needs. Even though preliminary steps towards such systems have recently been presented at the “International Society for Music Information Retrieval Conference” (ISMIR) and at similar venues, this vision is still far away from becoming a reality. In this article, we investigate and discuss literature on the topic of user-centric music retrieval and reflect on why the breakthrough in this field has not been achieved yet. Given the different expertises of the authors, we shed light on why this topic is a particularly challenging one, taking computer science and psychology points of view. Whereas the computer science aspect centers on the problems of user modeling, machine learning, and evaluation, the psychological discussion is mainly concerned with proper experimental design and interpretation of the results of an experiment. We further present our ideas on aspects crucial to consider when elaborating user-aware music retrieval systems.  相似文献   

2.
Interface agents are being developed to assist users with a variety of tasks. To perform effectively, such agents need knowledge of user preferences. An agent architecture has been developed which observes a user performing tasks, and identifies features which can be used as training data by a learning algorithm. Using the learned profile, an agent can give advice to the user on dealing with new situations. The architecture has been applied to two different information filtering domains: classifying incoming mail messages (Magi) and identifying interesting USENet news articles (UNA). This paper describes the architecture and examines the results of experimentation with different learning algorithms and different feature extraction strategies within these domains  相似文献   

3.
A case study in adaptive information filtering systems for the Web is presented. The described system comprises two main modules, named HUMOS and WIFS. HUMOS is a user modeling system based on stereotypes. It builds and maintains long term models of individual Internet users, representing their information needs. The user model is structured as a frame containing informative words, enhanced with semantic networks. The proposed machine learning approach for the user modeling process is based on the use of an artificial neural network for stereotype assignments. WIFS is a content-based information filtering module, capable of selecting html/text documents on computer science collected from the Web according to the interests of the user. It has been created for the very purpose of the structure of the user model utilized by HUMOS. Currently, this system acts as an adaptive interface to the Web search engine ALTA VISTATM. An empirical evaluation of the system has been made in experimental settings. The experiments focused on the evaluation, by means of a non-parametric statistics approach, of the added value in terms of system performance given by the user modeling component; it also focused on the evaluation of the usability and user acceptance of the system. The results of the experiments are satisfactory and support the choice of a user model-based approach to information filtering on the Web.  相似文献   

4.
研究并设计了一个基于Web的远程教育平台,系统采用MVC三层结构,用户界面层、业务逻辑层和数据访问层。系统主要实现的功能包括:学习资源、新闻公告、论坛交流、网络课堂、资料上传,以及强大的后台管理等功能。该系统采用Myeclipse作为Web开发平台,Mysql Server5.0作为数据库开发工具,采用BS体系结构,界面美观,操作方便。  相似文献   

5.
Building effective classifiers requires providing the modeling algorithms with information about the training data and modeling goals in order to create a model that makes proper tradeoffs. Machine learning algorithms allow for flexible specification of such meta-information through the design of the objective functions that they solve. However, such objective functions are hard for users to specify as they are a specific mathematical formulation of their intents. In this paper, we present an approach that allows users to generate objective functions for classification problems through an interactive visual interface. Our approach adopts a semantic interaction design in that user interactions over data elements in the visualization are translated into objective function terms. The generated objective functions are solved by a machine learning solver that provides candidate models, which can be inspected by the user, and used to suggest refinements to the specifications. We demonstrate a visual analytics system QUESTO for users to manipulate objective functions to define domain-specific constraints. Through a user study we show that QUESTO helps users create various objective functions that satisfy their goals.  相似文献   

6.
刘品文  戴永  王求真  张欣 《微机发展》2007,17(12):217-220
多门锁位机联网结构是一种新型的集散式门禁控制体系。上位机软件起着钥匙、持钥匙人员、上级系统等信息采集、分析、处理、管理等重要作用。针对智能像卡钥匙,利用UML建模方法设计多门锁位机联网结构的软件体系,较好地实现了繁多信息逻辑关系的处理、管控,为系统的实用及产业化打下了坚实基础,也为其它类型的钥匙实现多门锁位机联网控制提供了借鉴。  相似文献   

7.
一个个性化的信息搜集Agent的设计与实现   总被引:21,自引:0,他引:21  
潘金贵  胡学联  李俊  张灵玲 《软件学报》2001,12(7):1074-1079
介绍了一个个性化的信息搜集Agent系统--DOLTRI-Agent(distanceandopenlearningtrainingresourceinformationagent)的设计与实现.DOLTRI-Agent系统是一个远程开放式学习(distanceandopenlearning,简称DOL)的教材信息搜集Agent.它基于多Agent体系结构,包含3个子Agent和其他3个组件.该系统具有主动搜集、维护、更新信息的功能,同时还具有个性化的特点,可不断学习用户知识,包括用户感兴趣的信息领域、用户的使用习惯等,并能运用这些知识来为用户提供个性化的信息服务和操作界面.  相似文献   

8.
The paper describes the modeling of a user's conceptual knowledge in the general user modeling shell system BGP-MS. On the one hand, BGP-MS is a workbench for the develment of a user model in a particular application domain. It supports the definition of the architecture of the individual user model, and of the architecture and the contents of user stereotypes. A rich representation language for conceptual knowledge, a partition mechanism, and flexible graphics-based interfaces are at the disposal of the user model developer. On the other hand, BGP-MS is a runtime user modeling tool aimed at fulfilling central tasks of a user modeling component in an application system. In this mode, the system offers a functional interface for accessing and updating the model of the current user, as well as basic domain-independent inference mechanisms, support for inferences defined by the developer, and a customizable stereotype management utility. The usefulness of BGP-MS will be demonstrated by illustrating how it can support the user modeling of various recently developed application systems.  相似文献   

9.
基于英汉机译实现跨语言信息检索   总被引:8,自引:0,他引:8  
随着日益增长的大量信息成为可利用的、用户面对查询一个多语种文本集合的情形,变得越来越普遍。这就产生一个非常重要的问题一以一种语言描述的用户查询与以不同语言书写的文本之间的匹配问题,也就是一种如何跨越语言界限的问题,即跨语言信息检索(Cross-Language Information Retrievat,CLIR)。针对该项任务建立了一个面向英汉的跨语言信息检索系统,并以此为基础提交了相关的几组运行结果。同时,结合所构建的汉语IR系统,实现完整的英一汉CLIR过程。  相似文献   

10.
新闻每时每刻都在发生,阅读新闻已经成为很多人的习惯。新闻媒体众多,网络媒体凭其迅捷性和便利性成为很多人的首选。网络新闻众多导致新闻过载,这就迫切需要个性化的新闻推荐系统,帮助用户快速地找到感兴趣的新闻。伴随着新闻大数据的产生和移动互联网的蓬勃发展,个性化新闻推荐迎来了新的机遇和挑战。首先介绍了个性化新闻推荐的挑战性;然后提出了个性化新闻推荐系统的基本框架,该框架包含新闻建模、用户建模、推荐引擎和用户接口四个模块,并以该框架为基础,分别综述了每个模块的研究进展,列举了现有的个性化新闻推荐系统中四个模块所采用的技术;最后总结了常用数据集、实验方法、评测指标和未来的研究方向。  相似文献   

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