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1.
A critical challenge for Web search engines concerns how they present relevant results to searchers. The traditional approach is to produce a ranked list of results with title and summary (snippet) information, and these snippets are usually chosen based on the current query. Snippets play a vital sensemaking role, helping searchers to efficiently make sense of a collection of search results, as well as determine the likely relevance of individual results. Recently researchers have begun to explore how snippets might also be adapted based on searcher preferences as a way to better highlight relevant results to the searcher. In this paper we focus on the role of snippets in collaborative web search and describe a technique for summarizing search results that harnesses the collaborative search behaviour of communities of like-minded searchers to produce snippets that are more focused on the preferences of the searchers. We go on to show how this so-called social summarization technique can generate summaries that are significantly better adapted to searcher preferences and describe a novel personalized search interface that combines result recommendation with social summarization.  相似文献   

2.
3.
As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective methods for accessing this information. Conversational agents can act as effective and familiar user interfaces. Although conversational agents can analyze the queries of users based on a static process, they cannot manage expressions that are more complex. In this paper, we propose a system that uses semantic Bayesian networks to infer the intentions of the user based on Bayesian networks and their semantic information. Since conversation often contains ambiguous expressions, the managing of context and uncertainty is necessary to support flexible conversational agents. The proposed method uses mixed-initiative interaction (MII) to obtain missing information and clarify spurious concepts in order to understand the intention of users correctly. We applied this to an information retrieval service for websites to verify the usefulness of the proposed method.  相似文献   

4.
We are interested in how ideas from document clustering can be used to improve the retrieval accuracy of ranked lists in interactive systems. In particular, we are interested in ways to evaluate the effectiveness of such systems to decide how they might best be constructed. In this study, we construct and evaluate systems that present the user with ranked lists and a visualization of inter-document similarities. We first carry out a user study to evaluate the clustering/ranked list combination on instance-oriented retrieval, the task of the TREC-6 Interactive Track. We find that although users generally prefer the combination, they are not able to use it to improve effectiveness. In the second half of this study, we develop and evaluate an approach that more directly combines the ranked list with information from inter-document similarities. Using the TREC collections and relevance judgments, we show that it is possible to realize substantial improvements in effectiveness by doing so, and that although users can use the combined information effectively, the system can provide hints that substantially improve on the user's solo effort. The resulting approach shares much in common with an interactive application of incremental relevance feedback. Throughout this study, we illustrate our work using two prototype systems constructed for these evaluations. The first, AspInQuery, is a classic information retrieval system augmented with a specialized tool for recording information about instances of relevance. The other system, Lighthouse, is a Web-based application that combines a ranked list with a portrayal of inter-document similarity. Lighthouse can work with collections such as TREC, as well as the results of Web search engines.  相似文献   

5.
Because of the increasing significance of social communication technologies within an organization, they have become a new form of information processing, resulting in business process transitions and increased benefits. By applying media richness theory and social theories, this study investigated how social communication technologies (SCTs) can be used by an employee to fit his/her task characteristics. Additionally, it also examined how the employee's social relationships moderated media usage in the current job environment and how this usage influenced the task performance. Five media were selected in this study (telephone, video conferencing, email, instant messaging, and blog). Using a hierarchical regression approach, we found that task characteristics were related to media usage, whereas social factors (social influence and social affinity) moderated the degree of the relationships. A few particular media and technologies seemed to perform well, however these are influenced by the social aspects. Moreover, the usage of social technologies results in positive task performance. The performance of a few specific technologies demonstrated binding effects (email performance was associated with instant messenger performance). In summary, we found that the usage of SCTs is instrumentally determined by the interaction between the task and social relationships.  相似文献   

6.
In this research, we investigated whether a learning process has unique information searching characteristics. The results of this research show that information searching is a learning process with unique searching characteristics specific to particular learning levels. In a laboratory experiment, we studied the searching characteristics of 72 participants engaged in 426 searching tasks. We classified the searching tasks according to Anderson and Krathwohl’s taxonomy of the cognitive learning domain. Research results indicate that applying and analyzing, the middle two of the six categories, generally take the most searching effort in terms of queries per session, topics searched per session, and total time searching. Interestingly, the lowest two learning categories, remembering and understanding, exhibit searching characteristics similar to the highest order learning categories of evaluating and creating. Our results suggest the view of Web searchers having simple information needs may be incorrect. Instead, we discovered that users applied simple searching expressions to support their higher-level information needs. It appears that searchers rely primarily on their internal knowledge for evaluating and creating information needs, using search primarily for fact checking and verification. Overall, results indicate that a learning theory may better describe the information searching process than more commonly used paradigms of decision making or problem solving. The learning style of the searcher does have some moderating effect on exhibited searching characteristics. The implication of this research is that rather than solely addressing a searcher’s expressed information need, searching systems can also address the underlying learning need of the user.  相似文献   

7.
This paper reports the results of a preliminary study of interpersonal information seeking interactions between a user and a human information source. The study showed that users specify their information needs (uncertainty) largely in terms of what they know (certainty) during the interaction. The articulated certainty and uncertainty in the interaction can be classified as utterances focusing on either the topic (what the user is talking about) or comment (how that topic fits in with the user's situation or problem). We suggest that user studies in information seeking research should conceptually realign from an emphasis on user's uncertainty- and topic-based matching to the inclusion of user's certainty and comment dimensions in order to develop a more linguistically robust, multi-dimensional approach to matching for information retrieval.  相似文献   

8.
Legal researchers, recruitment professionals, healthcare information professionals, and patent analysts all undertake work tasks where search forms a core part of their duties. In these instances, the search task is often complex and time-consuming and requires specialist expertise to identify relevant documents and insights within large domain-specific repositories and collections. Several studies have been made investigating the search practices of professionals such as these, but few have attempted to directly compare their professional practices and so it remains unclear to what extent insights and approaches from one domain can be applied to another. In this paper we describe the results of a survey of a purposive sample of 108 legal researchers, 64 recruitment professionals and 107 healthcare information professionals. Their responses are compared with results from a previous survey of 81 patent analysts. The survey investigated their search practices and preferences, the types of functionality they value, and their requirements for future information retrieval systems. The results reveal that these professions share many fundamental needs and face similar challenges. In particular a continuing preference to formulate queries as Boolean expressions, the need to manage, organise and re-use search strategies and results and an ambivalence toward the use of relevance ranking. The results stress the importance of recall and coverage for the healthcare and patent professionals, while precision and recency were more important to the legal and recruitment professionals. The results also highlight the need to ensure that search systems give confidence to the professional searcher and so trust, explainability and accountability remains a significant challenge when developing such systems. The findings suggest that translational research between the different areas could benefit professionals across domains.  相似文献   

9.
We present three fundamental, interrelated approaches to support multiple access paths to each terminal object in information hierarchies: faceted classification, faceted search, and web directories with embedded symbolic links. This survey aims to demonstrate how each approach supports users who seek information from multiple perspectives. We achieve this by exploring each approach, the relationships between these approaches, including tradeoffs, and how they can be used in concert, while focusing on a core set of hypermedia elements common to all. This approach provides a foundation from which to study, understand, and synthesize applications which employ these techniques. This survey does not aim to be comprehensive, but rather focuses on thematic issues.  相似文献   

10.
Current awareness services are designed to keep users informed about recent developments based around user need profiles. In organisational settings, they may operate through both electronic and social interactions aimed at delivering information that is relevant, pertinent and current. Understanding these interactions can reveal the tensions in current awareness dissemination and help inform ways of making services more effective and efficient. We report an in-depth, observational study of electronic current awareness use within a large London law firm. The study found that selection, re-aggregation and forwarding of information by multiple actors gives rise to a complex sociotechnical distribution network. Knowledge management staff act as a layer of “intelligent filters” sensitive to complex, local information needs; their distribution decisions address multiple situational relevance factors in a situation fraught with information overload and restrictive time-pressures. Their decisions aim to optimise conflicting constraints of recall, precision and information quantity. Critical to this is the use of dynamic profile updates which propagate back through the network through formal and informal social interactions. This supports changes to situational relevance judgements and so allows the network to ‘self-tune’. These findings lead to design requirements, including that systems should support rapid assessment of information items against an individual’s interests; that it should be possible to organise information for different subsequent uses; and that there should be back-propagation from information consumers to providers, to tune the understanding of their information needs.  相似文献   

11.
基于模糊积分的企业信用评级方法研究   总被引:6,自引:0,他引:6  
目前我国银行对于企业信用评级一般采用的是基于评分的等级分类方法,国内的研究虽然在方法上有大的改进,但是整体来看忽视信用评级过程的模糊本性。本文采用一种模糊信用评级方法,做一个有等级之分的决策结构的模型,运用模糊积分自下而上地综合信用信息。这种技术不仅考虑了目标数据,还考虑了每种指标的相关重要性。还有,这种方法使用了模糊集来描述指标,这样,最终的信用评级结果能揭示信用信息的变化。描述最终评价结果的五个等级水平可以提供更多有价值的信息。  相似文献   

12.
Process Virtualization Theory (PVT) proposes a set of requirements and relationships to explain and predict whether or not a knowledge work process can be successfully virtualized. However, at least in remote work, the crisis-driven digital transformation (e.g., during the COVID-19 pandemic) shows that almost all knowledge work processes can be virtualized unexpectedly and immediately. Since the requirements for these processes remain the same and need to be met to continue the processes remotely, an interesting question arises of how information technology (IT) can help to meet these requirements in a crisis-driven digital transformation of knowledge work. To address this question, we conducted 40 semi-structured interviews with a multiple-case approach using a critical realist perspective. Our findings contribute to information systems (IS) research in a twofold way. First, we demonstrate that the crisis-driven digital transformation of knowledge work triggers a revisited perspective on PVT by turning virtualized knowledge work processes into a prerequisite. Second, we show how the IT characteristics of PVT (representation, reach, monitoring capability) help to fulfill knowledge work process requirements in remote work settings and outline two additional IT characteristics (social presence and situation awareness) that positively support the fulfillment.  相似文献   

13.
如何实现CIMS的信息集成是企业Intranet架构的关键所在,传统的C/S体系结构由于其维护性差、安全性不高等缺点已经不能适应企业发展的需求,采用一种基于浏览器及分布式对象计算技术的多层框架结构来实现信息集成,具有较好的可扩展性、安全性和可靠性,并能很好地适应企业分布式异构环境。  相似文献   

14.
Taylor (1968) dramatically stated that information seekers/searchers do not use their real Q1-level of information need when formulating their query to the system. Instead, they use a compromised Q4-level form of their need. The article directly confronts what Taylor's (1968) Q1-level information need is–the “actual” or “real” information need of the searcher. The article conceptually and operationally defines what Taylor's Q1-level of information need is using Belkin's (1980) ASK concept as a basis for designing a system intervention that shifts the searcher from representing the Q4-level compromised form of the need in her query to representing instead her Q1-level real information need. The article describes the Q1 Actualizing Intervention Model, which can be built into a system capable of actualizing the uncertainty distribution of the searcher's belief ASK so that information search is directed by the searcher's real Q1-level information need. The objective of the Q1 Actualizing Intervention Model is to enable in our Knowledge Age the introduction of intervention IR systems that are organic and human-centric, designed to initiate organic knowledge production processes in the searcher.  相似文献   

15.
The mobile phone is not just another device; it is with you day and night, and you rely on its capabilities in work and in private. In short, the mobile phone is your companion. As your companion, it should understand your situational and informational needs. How do we increase the friendliness of your mobile phone, in order to fulfil this promise? In this paper, we explore how context awareness can be used for managing the user mobile experience. To this end, we employed a design research approach to integrate context-aware and cloud based services in an Android application. Through a user evaluation and proof-of-concept implementation we show how new technologies can increase the friendliness of your mobile phone. In so doing, we provide evidence that adaptive applications based on user context offer a fertile ground for taking mobile companionship to the next level.  相似文献   

16.
Information seeking is traditionally conducted in environments where search results are represented at the user interface by a minimal amount of meta-information such as titles and query-based summaries. The goal of this form of presentation is to give searchers sufficient context to help them make informed interaction decisions without overloading them cognitively. The principle of polyrepresentation [Ingwersen, P. (1996). Cognitive perspectives of information retrieval interaction: elements of a cognitive IR theory. Journal of Documentation 52, 3–50] suggests that information retrieval (IR) systems should provide and use different cognitive structures during acts of communication to reduce the uncertainty associated with interactive IR. In previous work we have created content-rich search interfaces that implement an aspect of polyrepresentative theory, and are capable of displaying multiple representations of the retrieved documents simultaneously at the results interface. Searcher interaction with content-rich interfaces was used as implicit relevance feedback (IRF) to construct modified queries. These interfaces have been shown to be successful in experimentation with human subjects but we do not know whether the information was presented in a way that makes good use of the display space, or positioned most useful components in easily accessible locations, for use in IRF. In this article we use simulations of searcher interaction behaviour as design tools to determine the most rational interface design for when IRF is employed. This research forms part of the iterative design of interfaces to proactively support searchers.  相似文献   

17.
高彦静  郭湘玲 《现代情报》2010,30(11):134-135,138
本文从实际工作中遇到的问题出发,分析了科技查新工作中回避的意义在于减少查新员(审核员)在查新工作中因亲属关系等因素的干扰,保证查新员、审核员正常的查新工作,确保查新报告质量。并指出推行岗位保密制度,提高查新工作人员的自身素质是查新工作中回避制度实施的有效手段。  相似文献   

18.
Despite the many implicit references to the social contexts of search within information seeking and retrieval research, there has been relatively little work that has specifically investigated the additional requirements for collaborative information-seeking interfaces. Here, we re-assess an existing analytical inspection framework, designed for individual information seeking, and then apply it to evaluate a recent collaborative information-seeking interface: SearchTogether. The framework was built upon two models of solitary information seeking, and so as part of the re-assessment we first re-frame the models for collaborative contexts. We re-frame a model of search tactics, providing revised definitions that consider known collaborators. We then re-frame a model of searcher profiles to analyse support for different group dynamics. After presenting an analysis of SearchTogether, we reflect on its accuracy, showing that the framework identified eight known truths, eight new insights, and no known-to-be-untrue insights into the design. We conclude that the framework: (a) can still be applied to collaborative information-seeking interfaces; (b) can successfully produce additional requirements for collaborative information-seeking interfaces; and (c) can successfully model different dynamics of collaborating searchers.  相似文献   

19.
The paper presents a background survey of the existing state-of-the-art as it relates to monitoring of information systems. It addresses both historical and current approaches and both manual and automated techniques. The general concept of automated monitoring into a well-defined methodology, categorizing the generic uses for monitoring, identifying specific objectives of monitoring and translating these objectives into detailed parameters are developed. Methodologies, techniques and theoretical foundations essential for analyzing monitored data are formulated. Desirable computer-based support requirements for data analysis also are discussed. Conclusions and implications for future research and development efforts in monitoring and evaluation of on-line information systems are highlighted.  相似文献   

20.
Users of search engines express their needs as queries, typically consisting of a small number of terms. The resulting search engine query logs are valuable resources that can be used to predict how people interact with the search system. In this paper, we introduce two novel applications of query logs, in the context of distributed information retrieval. First, we use query log terms to guide sampling from uncooperative distributed collections. We show that while our sampling strategy is at least as efficient as current methods, it consistently performs better. Second, we propose and evaluate a pruning strategy that uses query log information to eliminate terms. Our experiments show that our proposed pruning method maintains the accuracy achieved by complete indexes, while decreasing the index size by up to 60%. While such pruning may not always be desirable in practice, it provides a useful benchmark against which other pruning strategies can be measured.  相似文献   

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