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排序方式： 共有270条查询结果，搜索用时 31 毫秒
181.
Marco Angelini Vanessa Fazzini Nicola Ferro Giuseppe Santucci Gianmaria Silvello 《Information processing & management》2018,54(6):1077-1100
Information Retrieval (IR) develops complex systems, constituted of several components, which aim at returning and optimally ranking the most relevant documents in response to user queries. In this context, experimental evaluation plays a central role, since it allows for measuring IR systems effectiveness, increasing the understanding of their functioning, and better directing the efforts for improving them. Current evaluation methodologies are limited by two major factors: (i) IR systems are evaluated as “black boxes”, since it is not possible to decompose the contributions of the different components, e.g., stop lists, stemmers, and IR models; (ii) given that it is not possible to predict the effectiveness of an IR system, both academia and industry need to explore huge numbers of systems, originated by large combinatorial compositions of their components, to understand how they perform and how these components interact together.We propose a Combinatorial visuaL Analytics system for Information Retrieval Evaluation (CLAIRE) which allows for exploring and making sense of the performances of a large amount of IR systems, in order to quickly and intuitively grasp which system configurations are preferred, what are the contributions of the different components and how these components interact together.The CLAIRE system is then validated against use cases based on several test collections using a wide set of systems, generated by a combinatorial composition of several off-the-shelf components, representing the most common denominator almost always present in English IR systems. In particular, we validate the findings enabled by CLAIRE with respect to consolidated deep statistical analyses and we show that the CLAIRE system allows the generation of new insights, which were not detectable with traditional approaches. 相似文献
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184.
This study examines the relationship between R&D drivers and firm's age, taking into account the autoregressive nature of innovation. 相似文献
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186.
The paper aims at analysing the relationship between the market extension of Knowledge-Intensive Business Services (KIBS) and their knowledge management strategies. The literature emphasizes the strong relationship existing between KIBS and their customers in terms of innovation process and knowledge creation. We argue that the knowledge management strategies – in terms of knowledge codification, personalization, and knowledge creation – implemented by a KIBS is related to their geographical market extension. A quantitative approach is developed based on more than 150 Italian KIBS specializing in design and communication. The paper enriches the research framework concerning KIBS by emphasizing also the role of partners other than customers in KIBS’ knowledge management strategies. 相似文献
187.
Marco A. Bravo Eduardo Mosqueda Jorge L. Solís Trish Stoddart 《Journal of Science Teacher Education》2014,25(5):601-619
In this paper we present findings from a project that documented the development of preservice teachers’ beliefs and practices in delivering science instruction that considers issues of language and culture. Teacher candidates in the intervention group (n = 65) received a science methods course and teaching practicum experience that provided guidance in teaching science in culturally and linguistically responsive ways. Comparisons between a control group of preservice teachers (n = 45) and those involved in the intervention yielded stronger beliefs about the efficacy in promoting collaboration in science teaching than the intervention group. Observations of these preservice teachers during their teaching practicum revealed differences in favor of the intervention group in: (a) implementing science instruction that addressed the language and literacy involved in science; (b) using questions that elicited higher order thinking and; (c) providing scaffolds (e.g., purposeful feedback, probing student background knowledge) when confronting abstract scientific concepts. Implications for preservice teacher education are addressed. 相似文献
188.
Marco A. Muñoz John C. Fischetti Joseph R. Prather 《Journal of Education for Students Placed at Risk》2014,19(1):36-52
The Early College High School (ECHS) initiative developed in response to calls to significantly decrease the number of first-generation college and underserved students of color and from poverty who are high school dropouts or marginally graduates (i.e., ill prepared for college). The ECHS model is different from other educational reforms in that secondary and postsecondary faculty work collaboratively to align curriculum and supports that facilitate a successful high school-to-college transition. The purpose of this study was to evaluate the effects of the initial implementation of ECHS on student achievement and nonacademic indicators in a high-poverty setting. Results indicated that, after an initial year of implementation, achievement results on criterion-referenced tests were significantly higher for all students relative to matched control students, but the statistically and practically significant impact on norm-referenced tests was limited to students enrolled in ECHS courses; school attendance remained the same, but suspensions were decreased. Implications for high school reform and research are discussed. 相似文献
189.
The collective feedback of the users of an Information Retrieval (IR) system has been shown to provide semantic information
that, while hard to extract using standard IR techniques, can be useful in Web mining tasks. In the last few years, several
approaches have been proposed to process the logs stored by Internet Service Providers (ISP), Intranet proxies or Web search
engines. However, the solutions proposed in the literature only partially represent the information available in the Web logs.
In this paper, we propose to use a richer data structure, which is able to preserve most of the information available in the
Web logs. This data structure consists of three groups of entities: users, documents and queries, which are connected in a
network of relations. Query refinements correspond to separate transitions between the corresponding query nodes in the graph,
while users are linked to the queries they have issued and to the documents they have selected. The classical query/document
transitions, which connect a query to the documents selected by the users’ in the returned result page, are also considered.
The resulting data structure is a complete representation of the collective search activity performed by the users of a search
engine or of an Intranet. The experimental results show that this more powerful representation can be successfully used in
several Web mining tasks like discovering semantically relevant query suggestions and Web page categorization by topic. 相似文献
190.