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刊群运营团队面对的信息与任务的体量巨大、细节繁杂。本文就刊群运营团队协同工作面临的问题,访谈了6个不同规模的期刊集群,发现普遍存在的问题为：工作流程规范化程度低,过程监督弱;工作经验和文件保存不完整,数据孤岛现象严重;工作进展同步迟滞,信息沟通成本高。而协同软件对帮助团队工作协同、提高任务处理速度、优化管理体系有着重要的作用。为深入提高刊群运营管理效率,本文设计了基于Worktile和坚果云的期刊团队协同平台,可实现信息、人员、任务、沟通和文件的统一管理。并以南京农业大学英文期刊刊群的实施效果为例,发现引入期刊团队协同平台可以：帮助刊群建立标准工作程序,沉淀知识经验,保证团队协作井然有序;建立信息存储标准,打破数据孤岛,实现信息资源高效管理;建立自动统计大屏,实时监测进度,推动期刊工作合理分配。本文可为提升刊群运营质量,加快期刊集群化发展速度提供新的思路和具体操作方式参考。 相似文献
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When speaking of information retrieval, we often mean text retrieval. But there exist many other forms of information retrieval applications. A typical example is collaborative filtering that suggests interesting items to a user by taking into account other users’ preferences or tastes. Due to the uniqueness of the problem, it has been modeled and studied differently in the past, mainly drawing from the preference prediction and machine learning view point. A few attempts have yet been made to bring back collaborative filtering to information (text) retrieval modeling and subsequently new interesting collaborative filtering techniques have been thus derived. In this paper, we show that from the algorithmic view point, there is an even closer relationship between collaborative filtering and text retrieval. Specifically, major collaborative filtering algorithms, such as the memory-based, essentially calculate the dot product between the user vector (as the query vector in text retrieval) and the item rating vector (as the document vector in text retrieval). Thus, if we properly structure user preference data and employ the target user’s ratings as query input, major text retrieval algorithms and systems can be directly used without any modification. In this regard, we propose a unified formulation under a common notational framework for memory-based collaborative filtering, and a technique to use any text retrieval weighting function with collaborative filtering preference data. Besides confirming the rationale of the framework, our preliminary experimental results have also demonstrated the effectiveness of the approach in using text retrieval models and systems to perform item ranking tasks in collaborative filtering. 相似文献
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《Journal of Informetrics》2022,16(4):101346
Scientific collaboration is a significant behavior in knowledge creation and idea exchange. To tackle large and complex research questions, a trend of team formation has been observed in recent decades. In this study, we focus on recognizing collaborative teams and exploring inner patterns using scholarly big graph data. We propose a collaborative team recognition (CORE) model with a ”core + extension” team structure to recognize collaborative teams in large academic networks. In CORE, we combine an effective evaluation index called the collaboration intensity index with a series of structural features to recognize collaborative teams in which members are in close collaboration relationships. Then, CORE is used to guide the core team members to their extension members. CORE can also serve as the foundation for team-based research. The simulation results indicate that CORE reveals inner patterns of scientific collaboration: senior scholars have broad collaborative relationships and fixed collaboration patterns, which are the underlying mechanisms of team assembly. The experimental results demonstrate that CORE is promising compared with state-of-the-art methods. 相似文献
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Tara E. Murray 《图书馆管理杂志》2015,55(2):142-152
Librarianship has a long tradition of collaboration and cooperation between libraries, but the literature yields scant evidence of formal partnerships in practice in special libraries. This column explores the barriers to collaboration for special libraries, from organizational culture to legal constraints, as well as the potential benefits and how librarians can overcome the barriers to reap these benefits. Different types of collaboration, including among similar special libraries and between special libraries and other types of libraries and related organizations, as well as informal and formal cooperation, and short-term and long-term partnerships, are discussed. Collaboration and cooperation were part of the impetus to form professional associations. The column provides a brief history of professional library associations and their role in supporting library partnerships in the United States. The conclusion explores how the increasingly digital nature of information and library work affects collaborative library efforts and where the future of these efforts may lie, especially for special libraries. 相似文献
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Carol Simon 《Journal of Business & Finance Librarianship》2013,18(3):248-267
Currently the literature examining formal business information literacy (BIL) instruction and graduate business students focuses on the collaborative efforts between individual librarians and business school faculty members to bring information literacy into the classroom. This article argues that all graduate business students need formal BIL instruction to succeed in their studies and as business leaders. The unique decade-long collaboration between Hofstra University's Axinn Library and Frank G. Zarb School of Business is examined. 相似文献
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Armin Hust 《Informatik - Forschung und Entwicklung》2005,19(4):224-238
Information Retrieval Systeme haben in den letzten Jahren nur geringe Verbesserungen in der Retrieval Performance erzielt.
Wir arbeiten an neuen Ans?tzen, dem sogenannten Collaborativen Information Retrieval (CIR), die das Potential haben, starke
Verbesserungen zu erreichen. CIR ist die Methode, mit der durch Ausnutzen von Informationen aus früheren Anfragen die Retrieval
Peformance für die aktuelle Anfrage verbessert wird. Wir haben ein eingeschr?nktes Szenario, in dem nur alte Anfragen und
dazu relevante Antwortdokumente zur Verfügung stehen. Neue Ans?tze für Methoden der Query Expansion führen unter diesen Bedingungen
zu Verbesserungen der Retrieval Performance .
The accuracy of ad-hoc document retrieval systems has reached a stable plateau in the last few years. We are working on so-called
collaborative information retrieval (CIR) systems which have the potential to overcome the current limits. We define CIR as
a task, where an information retrieval (IR) system uses information gathered from previous search processes from one or several
users to improve retrieval performance for the current user searching for information. We focus on a restricted setting in
CIR in which only old queries and correct answer documents to these queries are available for improving a new query. For this
restricted setting we propose new approaches for query expansion procedures. We show how CIR methods can improve overall IR
performance.
CR Subject Classification H.3.3 相似文献
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《Library & information science research》2006,28(2):192-207
The application of visualization techniques to information retrieval (IR) has resulted in the development of innovative systems and interfaces that are now available for public use. Visualization tools have emerged in research environments and more recently on the Web to retrieve information. Questions arise in regard to the utility of Web-based IR visualization tools for assisting users not only in manipulating search output, but also in managing the information retrieval process. To understand how Web-based visualization tools enable visual information retrieval, this article reviews some of the human perceptual theory behind the graphical interface of information visualization systems, analyzes iconic representations and information density on visualization displays, and examines information retrieval tasks that have been used in visualization system user research. This article is timely since it addresses new technologies for Web information retrieval and discusses future information visualization user research directions. 相似文献
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Operational multimodal information retrieval systems have to deal with increasingly complex document collections and queries that are composed of a large set of textual and non-textual modalities such as ratings, prices, timestamps, geographical coordinates, etc. The resulting combinatorial explosion of modality combinations makes it intractable to treat each modality individually and to obtain suitable training data. As a consequence, instead of finding and training new models for each individual modality or combination of modalities, it is crucial to establish unified models, and fuse their outputs in a robust way. Since the most popular weighting schemes for textual retrieval have in the past generalized well to many retrieval tasks, we demonstrate how they can be adapted to be used with non-textual modalities, which is a first step towards finding such a unified model. We demonstrate that the popular weighting scheme BM25 is suitable to be used for multimodal IR systems and analyze the underlying assumptions of the BM25 formula with respect to merging modalities under the so-called raw-score merging hypothesis, which requires no training. We establish a multimodal baseline for two multimodal test collections, show how modalities differ with respect to their contribution to relevance and the difficulty of treating modalities with overlapping information. Our experiments demonstrate that our multimodal baseline with no training achieves a significantly higher retrieval effectiveness than using just the textual modality for the social book search 2016 collection and lies in the range of a trained multimodal approach using the optimal linear combination of the modality scores. 相似文献
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Several models of librarian and faculty collaboration are found in the professional librarian literature. The literature on collaborative self-study research in university settings suggests collaborative self-study research can improve interdisciplinary and collaborative approaches to teaching and research and facilitate the transfer of knowledge. A research librarian and professor of education conducted a phenomenological self-study to examine their multiple roles as researchers and instructors who collaborated to develop, implement, and evaluate distance-delivered instructional services for public school teachers who live and work in remote, rural, and Alaska Native communities throughout the state of Alaska. Several themes emerged from this phenomenological self-study: (a) our interdisciplinary and collaborative efforts resulted in increased opportunities to team teach and conduct future collaborative research; (b) we struggled to communicate effectively with our students via audio-conference; and (c) our beliefs and practices were transformed by our participation in this phenomenological self-study. We believe our collaborative approach to phenomenological self-study research can promote intense self-reflection, stimulate creativity, and facilitate open and honest communication between academic librarians and teaching faculty who engage in collaborative instruction and collaborative research; furthermore, we believe our collaborative approach to phenomenological self-study research can increase the instructional effectiveness of academic librarians and teaching faculty collaborating to teach in distance-delivered higher education. 相似文献
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CDIO工程教育模式下的文献检索课教学探索与实践 总被引：2，自引：0，他引：2
CDIO是一种新型的高等教育模式,它以系统的产品设计来培养学生专业技术知识、个人能力、职业能力、团队工作和交流能力。河北工程大学通过文献检索课和模拟电子技术课的有机结合授课方式获得实践经验,提炼出一个与专业课结合的专业教师授课的文献检索课教学模式。模式分为3个层面:首先,教师根据社会科学和数理逻辑的相关理念来构思教学大纲并确立学生分组规则。其次,使用基于系统工程理念所开发的数据库信息资源,加强教师和学生有规律的学习互动。最后,师生把课堂环境演化为知识交换市场,共同分享学习成果。实践证明,文献检索课教学与专业课的有机结合是CDIO模式下一种理想的文献检索课教学模式。 相似文献
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文献推荐系统：提高信息检索效率之途 总被引：2，自引：0，他引：2
Traditional Information Retrieval (IR) systems have limitations in improving search performance in today’s information environment. The high recall and poor precision of traditional IR systems are only as good as with the accuracy of search query, which is, however, usually difficult for the user to construct. It is also time-consuming for the user to evaluate each search result. The recommendation techniques having been developed since the early 1990s help solve the problems that traditional IR systems have. This paper explains the basic process and major elements of document recommender systems, especially the two recommendation techniques of content-based filtering and collaborative filtering. Also discussed are the evaluation issue and the problems that current document recommender systems are facing, which need to be taken into account in future system designs. Traditional Information Retrieval (IR) systems have limitations in improving search performance in today’s information environment. The high recall and poor precision of traditional IR systems are only as good as with the accuracy of search query, which is, however, usually difficult for the user to construct. It is also time-consuming for the user to evaluate each search result. The recommendation techniques having been developed since the early 1990s help solve the problems that traditional IR systems have. This paper explains the basic process and major elements of document recommender systems, especially the two recommendation techniques of content-based filtering and collaborative filtering. Also discussed are the evaluation issue and the problems that current document recommender systems are facing, which need to be taken into account in future system designs. 相似文献
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基于概念空间方法的信息检索技术研究 总被引：14，自引：0，他引：14
为了解决词汇差异问题,词表构造在信息检索系统中有着重要意义。概念空间方法是利用计算机自动构造概念语义网络(词表)并以此为基础进行概念检索的一种方法。由词语作为语义网络的节点,词语之间的关联权重以一个给定文档集合中词语的共现率来计算,其大小代表它们之间的相似性。检索时系统采用人工智能方法激活与检索入口词相关的术语或概念,为用户提供交互式的检索用语建议。方法的具体步骤包括文档和对象列表收集、对象过滤和自动标引、共现分析和联想检索四个阶段。这种方法多用于英文检索系统,但对我国的信息检索系统也有重要的借鉴意义。 相似文献
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Information Retrieval from Documents: A Survey 总被引：4，自引：0，他引：4
Given the phenomenal growth in the variety and quantity of data available to users through electronic media, there is a great demand for efficient and effective ways to organize and search through all this information. Besides speech, our principal means of communication is through visual media, and in particular, through documents. In this paper, we provide an update on Doermann's comprehensive survey (1998) of research results in the broad area of document-based information retrieval. The scope of this survey is also somewhat broader, and there is a greater emphasis on relating document image analysis methods to conventional IR methods.Documents are available in a wide variety of formats. Technical papers are often available as ASCII files of clean, correct, text. Other documents may only be available as hardcopies. These documents have to be scanned and stored as images so that they may be processed by a computer. The textual content of these documents may also be extracted and recognized using OCR methods. Our survey covers the broad spectrum of methods that are required to handle different formats like text and images. The core of the paper focuses on methods that manipulate document images directly, and perform various information processing tasks such as retrieval, categorization, and summarization, without attempting to completely recognize the textual content of the document. We start, however, with a brief overview of traditional IR techniques that operate on clean text. We also discuss research dealing with text that is generated by running OCR on document images. Finally, we also briefly touch on the related problem of content-based image retrieval. 相似文献
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交互式跨语言信息检索是信息检索的一个重要分支。在分析交互式跨语言信息检索过程、评价指标、用户行为进展等理论研究基础上,设计一个让用户参与跨语言信息检索全过程的用户检索实验。实验结果表明:用户检索词主要来自检索主题的标题;用户判断文档相关性的准确率较高;目标语言文档全文、译文摘要、译文全文都是用户认可的判断依据;翻译优化方法以及翻译优化与查询扩展的结合方法在用户交互环境下非常有效;用户对于反馈后的翻译仍然愿意做进一步选择;用户对于与跨语言信息检索系统进行交互是有需求并认可的。用户行为分析有助于指导交互式跨语言信息检索系统的设计与实践。 相似文献
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The Clinical Medical Librarian (CML) Program of the Tompkins-McCaw Library is a special instructional initiative to teach third-year medical students the use of information resources in the clinical setting. Librarians spend one week with selected internal medicine teams participating in work rounds and instructing team members in the use of the medical literature. The librarian assists team members to identify and retrieve relevant information through computer workstations located in the hospital. Photocopies of journal articles are made available to team members through the CML document delivery program. 相似文献
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合作信息查寻与检索的知识共享模型 总被引：1，自引：0，他引：1
合作信息查寻与检索（CIS&R）是一种社会群体性的认知行为,其最终目标是满足用户理解和利用信息的需求,提高和完善用户的知识结构。在文献调研的基础上总结合作信息查寻与检索框架模型的两种构建方式：基于传统模型的扩展改善与基于特定领域的概括归纳。讨论该领域的知识共享研究现状,提出CIS&R的本质是知识共享过程。从情境及任务的视角出发,在社会认知观的指导下构建CIS&R知识共享模型,讨论该模型的4个主要构成要素：共享主体、共享客体、共享行为及共享情境。指出所构模型的局限性,展望基于该模型的进一步研究内容。图2。参考文献18。 相似文献