-
Liu, Y.; Rousseau, R.: Citation analysis and the development of science : a case study using articles by some Nobel prize winners (2014)
0.01
0.012354311 = product of:
0.08648017 = sum of:
0.08648017 = sum of:
0.04260875 = weight(_text_:science in 1197) [ClassicSimilarity], result of:
0.04260875 = score(doc=1197,freq=6.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.40326554 = fieldWeight in 1197, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0625 = fieldNorm(doc=1197)
0.043871425 = weight(_text_:29 in 1197) [ClassicSimilarity], result of:
0.043871425 = score(doc=1197,freq=2.0), product of:
0.14110081 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04011181 = queryNorm
0.31092256 = fieldWeight in 1197, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0625 = fieldNorm(doc=1197)
0.14285715 = coord(1/7)
- Abstract
- Using citation data of articles written by some Nobel Prize winners in physics, we show that concave, convex, and straight curves represent different types of interactions between old ideas and new insights. These cases illustrate different diffusion characteristics of academic knowledge, depending on the nature of the knowledge in the new publications. This work adds to the study of the development of science and links this development to citation analysis.
- Date
- 29. 1.2014 16:31:35
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.2, S.281-289
-
Liu, Y.; Shi, J.; Chen, Y.: Patient-centered and experience-aware mining for effective adverse drug reaction discovery in online health forums (2018)
0.01
0.009810947 = product of:
0.034338314 = sum of:
0.02511325 = weight(_text_:systems in 4114) [ClassicSimilarity], result of:
0.02511325 = score(doc=4114,freq=2.0), product of:
0.12327058 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.04011181 = queryNorm
0.2037246 = fieldWeight in 4114, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.046875 = fieldNorm(doc=4114)
0.009225064 = product of:
0.018450128 = sum of:
0.018450128 = weight(_text_:science in 4114) [ClassicSimilarity], result of:
0.018450128 = score(doc=4114,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.17461908 = fieldWeight in 4114, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.046875 = fieldNorm(doc=4114)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Abstract
- Adverse Drug Reactions (ADRs) have become a serious health problem and even a leading cause of death in the United States. Pre-marketing clinical trials and traditional post-marketing surveillance using voluntary and spontaneous report systems are insufficient for ADR detection. On the other hand, online health forums provide valuable evidences in a large scale and in a timely fashion through the active participation of patients, caregivers, and doctors. In this article, we present patient-centered and experience-aware mining framework for effective ADR discovery using online health forum data. Our experimental evaluation with both an official ADR knowledge base and human-annotated ground truth verifies the effectiveness of the proposed method for ADR discovery.
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.2, S.215-228
-
Liu, Y.; Xu, S.; Blanchard, E.: ¬A local context-aware LDA model for topic modeling in a document network (2017)
0.01
0.008331943 = product of:
0.029161802 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 3642) [ClassicSimilarity], result of:
0.0153751075 = score(doc=3642,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 3642, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=3642)
0.5 = coord(1/2)
0.021474248 = product of:
0.042948496 = sum of:
0.042948496 = weight(_text_:applications in 3642) [ClassicSimilarity], result of:
0.042948496 = score(doc=3642,freq=2.0), product of:
0.17659263 = queryWeight, product of:
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.04011181 = queryNorm
0.2432066 = fieldWeight in 3642, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.0390625 = fieldNorm(doc=3642)
0.5 = coord(1/2)
0.2857143 = coord(2/7)
- Abstract
- With the rapid development of the Internet and its applications, growing volumes of documents increasingly become interconnected to form large-scale document networks. Accordingly, topic modeling in a network of documents has been attracting continuous research attention. Most of the existing network-based topic models assume that topics in a document are influenced by its directly linked neighbouring documents in a document network and overlook the potential influence from indirectly linked ones. The existing work also has not carefully modeled variations of such influence among neighboring documents. Recognizing these modeling limitations, this paper introduces a novel Local Context-Aware LDA Model (LC-LDA), which is capable of observing a local context comprising a rich collection of documents that may directly or indirectly influence the topic distributions of a target document. The proposed model can also differentiate the respective influence of each document in the local context on the target document according to both structural and temporal relationships between the two documents. The proposed model is extensively evaluated through multiple document clustering and classification tasks conducted over several large-scale document sets. Evaluation results clearly and consistently demonstrate the effectiveness and superiority of the new model with respect to several state-of-the-art peer models.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1429-1448
-
Liu, Y.; Li, W.; Huang, Z.; Fang, Q.: ¬A fast method based on multiple clustering for name disambiguation in bibliographic citations (2015)
0.01
0.006573534 = product of:
0.023007369 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 1672) [ClassicSimilarity], result of:
0.0153751075 = score(doc=1672,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 1672, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=1672)
0.5 = coord(1/2)
0.015319815 = weight(_text_:library in 1672) [ClassicSimilarity], result of:
0.015319815 = score(doc=1672,freq=2.0), product of:
0.10546913 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.04011181 = queryNorm
0.14525402 = fieldWeight in 1672, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0390625 = fieldNorm(doc=1672)
0.2857143 = coord(2/7)
- Abstract
- Name ambiguity in the context of bibliographic citation affects the quality of services in digital libraries. Previous methods are not widely applied in practice because of their high computational complexity and their strong dependency on excessive attributes, such as institutional affiliation, research area, address, etc., which are difficult to obtain in practice. To solve this problem, we propose a novel coarse-to-fine framework for name disambiguation which sequentially employs 3 common and easily accessible attributes (i.e., coauthor name, article title, and publication venue). Our proposed framework is based on multiple clustering and consists of 3 steps: (a) clustering articles by coauthorship and obtaining rough clusters, that is fragments; (b) clustering fragments obtained in step 1 by title information and getting bigger fragments; (c) and clustering fragments obtained in step 2 by the latent relations among venues. Experimental results on a Digital Bibliography and Library Project (DBLP) data set show that our method outperforms the existing state-of-the-art methods by 2.4% to 22.7% on the average pairwise F1 score and is 10 to 100 times faster in terms of execution time.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.3, S.634-644
-
Lim, S.C.J.; Liu, Y.; Lee, W.B.: Multi-facet product information search and retrieval using semantically annotated product family ontology (2010)
0.00
0.004250799 = product of:
0.02975559 = sum of:
0.02975559 = product of:
0.05951118 = sum of:
0.05951118 = weight(_text_:applications in 4239) [ClassicSimilarity], result of:
0.05951118 = score(doc=4239,freq=6.0), product of:
0.17659263 = queryWeight, product of:
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.04011181 = queryNorm
0.33699697 = fieldWeight in 4239, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.03125 = fieldNorm(doc=4239)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Abstract
- With the advent of various services and applications of Semantic Web, semantic annotation has emerged as an important research topic. The application of semantically annotated ontology had been evident in numerous information processing and retrieval tasks. One of such tasks is utilizing the semantically annotated ontology in product design which is able to suggest many important applications that are critical to aid various design related tasks. However, ontology development in design engineering remains a time consuming and tedious task that demands considerable human efforts. In the context of product family design, management of different product information that features efficient indexing, update, navigation, search and retrieval across product families is both desirable and challenging. For instance, an efficient way of retrieving timely information on product family can be useful for tasks such as product family redesign and new product variant derivation when requirements change. However, the current research and application of information search and navigation in product family is mostly limited to its structural aspect which is insufficient to handle advanced information search especially when the query targets at multiple aspects of a product. This paper attempts to address this problem by proposing an information search and retrieval framework based on the semantically annotated multi-facet product family ontology. Particularly, we propose a document profile (DP) model to suggest semantic tags for annotation purpose. Using a case study of digital camera families, we illustrate how the faceted search and retrieval of product information can be accomplished. We also exemplify how we can derive new product variants based on the designer's query of requirements via the faceted search and retrieval of product family information. Lastly, in order to highlight the value of our current work, we briefly discuss some further research and applications in design decision support, e.g. commonality analysis and variety comparison, based on the semantically annotated multi-facet product family ontology.
-
Liu, Y.: Precision One MediaSource : film/video locator on CD-ROM (1995)
0.00
0.0031054837 = product of:
0.021738386 = sum of:
0.021738386 = product of:
0.04347677 = sum of:
0.04347677 = weight(_text_:22 in 7744) [ClassicSimilarity], result of:
0.04347677 = score(doc=7744,freq=2.0), product of:
0.14046472 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04011181 = queryNorm
0.30952093 = fieldWeight in 7744, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=7744)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Date
- 22. 6.1997 16:34:51
-
Lim, S.C.J.; Liu, Y.; Lee, W.B.: ¬A methodology for building a semantically annotated multi-faceted ontology for product family modelling (2011)
0.00
0.0024541998 = product of:
0.017179398 = sum of:
0.017179398 = product of:
0.034358796 = sum of:
0.034358796 = weight(_text_:applications in 1485) [ClassicSimilarity], result of:
0.034358796 = score(doc=1485,freq=2.0), product of:
0.17659263 = queryWeight, product of:
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.04011181 = queryNorm
0.19456528 = fieldWeight in 1485, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.03125 = fieldNorm(doc=1485)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Abstract
- Product family design is one of the prevailing approaches in realizing mass customization. With the increasing number of product offerings targeted at different market segments, the issue of information management in product family design, that is related to an efficient and effective storage, sharing and timely retrieval of design information, has become more complicated and challenging. Product family modelling schema reported in the literature generally stress the component aspects of a product family and its analysis, with a limited capability to model complex inter-relations between physical components and other required information in different semantic orientations, such as manufacturing, material and marketing wise. To tackle this problem, ontology-based representation has been identified as a promising solution to redesign product platforms especially in a semantically rich environment. However, ontology development in design engineering demands a great deal of time commitment and human effort to process complex information. When a large variety of products are available, particularly in the consumer market, a more efficient method for building a product family ontology with the incorporation of multi-faceted semantic information is therefore highly desirable. In this study, we propose a methodology for building a semantically annotated multi-faceted ontology for product family modelling that is able to automatically suggest semantically-related annotations based on the design and manufacturing repository. The six steps of building such ontology: formation of product family taxonomy; extraction of entities; faceted unit generation and concept identification; facet modelling and semantic annotation; formation of a semantically annotated multi-faceted product family ontology (MFPFO); and ontology validation and evaluation are discussed in detail. Using a family of laptop computers as an illustrative example, we demonstrate how our methodology can be deployed step by step to create a semantically annotated MFPFO. Finally, we briefly discuss future research issues as well as interesting applications that can be further pursued based on the MFPFO developed.
-
Liu, Y.; Rousseau, R.: Interestingness and the essence of citation : Thomas Reid and bibliographic description (2013)
0.00
0.0022826118 = product of:
0.015978282 = sum of:
0.015978282 = product of:
0.031956565 = sum of:
0.031956565 = weight(_text_:science in 1764) [ClassicSimilarity], result of:
0.031956565 = score(doc=1764,freq=6.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.30244917 = fieldWeight in 1764, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.046875 = fieldNorm(doc=1764)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Abstract
- Purpose - This paper aims to provide a new insight into the reasons why authors cite. Design/methodology/approach The authors argue that, based on philosophical ideas about the essence of things, pure rational thinking about the role of citations leads to the answer. Findings - Citations originate from the interestingness of the investigated phenomenon. The essence of citation lies in the interaction between different ideas or perspectives on a phenomenon addressed in the citing as well as in the cited articles. Research limitations/implications - The findings only apply to ethical (not whimsical or self-serving) citations. As such citations reflect interactions of scientific ideas, they can reveal the evolution of science, revive the cognitive process of an investigated scientific phenomenon and reveal political and economic factors influencing the development of science. Originality/value - This article is the first to propose interestingness and the interaction of ideas as the basic reason for citing. This view on citations allows reverse engineering from citations to ideas and hence becomes useful for science policy.
-
Liu, Y.; Qin, C.; Ma, X.; Liang, H.: Serendipity in human information behavior : a systematic review (2022)
0.00
0.001958546 = product of:
0.013709821 = sum of:
0.013709821 = product of:
0.027419642 = sum of:
0.027419642 = weight(_text_:29 in 603) [ClassicSimilarity], result of:
0.027419642 = score(doc=603,freq=2.0), product of:
0.14110081 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.04011181 = queryNorm
0.19432661 = fieldWeight in 603, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.0390625 = fieldNorm(doc=603)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Date
- 5. 6.2022 17:03:29
-
Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019)
0.00
0.0019409275 = product of:
0.013586491 = sum of:
0.013586491 = product of:
0.027172983 = sum of:
0.027172983 = weight(_text_:22 in 5492) [ClassicSimilarity], result of:
0.027172983 = score(doc=5492,freq=2.0), product of:
0.14046472 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04011181 = queryNorm
0.19345059 = fieldWeight in 5492, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=5492)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Date
- 20. 1.2015 18:30:22
-
Liu, Y.; Rousseau, R.: Knowledge diffusion through publications and citations : a case study using ESI-fields as unit of diffusion (2010)
0.00
0.0015531204 = product of:
0.0108718425 = sum of:
0.0108718425 = product of:
0.021743685 = sum of:
0.021743685 = weight(_text_:science in 3334) [ClassicSimilarity], result of:
0.021743685 = score(doc=3334,freq=4.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.20579056 = fieldWeight in 3334, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=3334)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Abstract
- Two forms of diffusion are studied: diffusion by publications, originating from the fact that a group publishes in different fields; and diffusion by citations, originating from the fact that the group's publications are cited in different fields. The first form of diffusion originates from an internal mechanism by which the group itself expands its own borders. The second form is partly driven by an external mechanism, in the sense that other fields use or become interested in the original group's expertise, and partly by the group's internal dynamism, in the sense that their articles, being published in more and more fields, have the potential to be applied in these other fields. In this contribution, we focus on basic counting measures as measures of diffusion. We introduce the notions of field diffusion breadth, defined as the number of for Essential Science Indicators (ESI) fields in which a set of articles is cited, and field diffusion intensity, defined as the number of citing articles in one particular ESI field. Combined effects of publications and citations can be measured by the Gini evenness measure. Our approach is illustrated by a study of mathematics at Tongji University (Shanghai, China).
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.340-351
-
Wu, Y.; Liu, Y.; Tsai, Y.-H.R.; Yau, S.-T.: Investigating the role of eye movements and physiological signals in search satisfaction prediction using geometric analysis (2019)
0.00
0.0015531204 = product of:
0.0108718425 = sum of:
0.0108718425 = product of:
0.021743685 = sum of:
0.021743685 = weight(_text_:science in 5382) [ClassicSimilarity], result of:
0.021743685 = score(doc=5382,freq=4.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.20579056 = fieldWeight in 5382, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=5382)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Footnote
- Beitrag in einem 'Special issue on neuro-information science'.
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.9, S.981-999
-
Liu, Y.; Rousseau, R.: Towards a representation of diffusion and interaction of scientific ideas : the case of fiber optics communication (2012)
0.00
0.0015375108 = product of:
0.010762575 = sum of:
0.010762575 = product of:
0.02152515 = sum of:
0.02152515 = weight(_text_:science in 2723) [ClassicSimilarity], result of:
0.02152515 = score(doc=2723,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.20372227 = fieldWeight in 2723, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0546875 = fieldNorm(doc=2723)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Abstract
- The research question studied in this contribution is how to find an adequate representation to describe the diffusion of scientific ideas over time. We claim that citation data, at least of articles that act as concept symbols, can be considered to contain this information. As a case study we show how the founding article by Nobel Prize winner Kao illustrates the evolution of the field of fiber optics communication. We use a continuous description of discrete citation data in order to accentuate turning points and breakthroughs in the history of this field. Applying the principles explained in this contribution informetrics may reveal the trajectories along which science is developing.
-
Liu, Y.; Rafols, I.; Rousseau, R.: ¬A framework for knowledge integration and diffusion (2012)
0.00
0.0013178664 = product of:
0.009225064 = sum of:
0.009225064 = product of:
0.018450128 = sum of:
0.018450128 = weight(_text_:science in 297) [ClassicSimilarity], result of:
0.018450128 = score(doc=297,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.17461908 = fieldWeight in 297, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.046875 = fieldNorm(doc=297)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Abstract
- Purpose - This paper aims to introduce a general framework for the analysis of knowledge integration and diffusion using bibliometric data. Design/methodology/approach - The authors propose that in order to characterise knowledge integration and diffusion of a given issue (the source, for example articles on a topic or by an organisation, etc.), one has to choose a set of elements from the source (the intermediary set, for example references, keywords, etc.). This set can then be classified into categories (cats), thus making it possible to investigate its diversity. The set can also be characterised according to the coherence of a network associated to it. Findings - This framework allows a methodology to be developed to assess knowledge integration and diffusion. Such methodologies can be useful for a number of science policy issues, including the assessment of interdisciplinarity in research and dynamics of research networks. Originality/value - The main contribution of this article is to provide a simple and easy to use generalisation of an existing approach to study interdisciplinarity, bringing knowledge integration and knowledge diffusion together in one framework.
-
Liu, Y.; Du, F.; Sun, J.; Silva, T.; Jiang, Y.; Zhu, T.: Identifying social roles using heterogeneous features in online social networks (2019)
0.00
0.0013178664 = product of:
0.009225064 = sum of:
0.009225064 = product of:
0.018450128 = sum of:
0.018450128 = weight(_text_:science in 5293) [ClassicSimilarity], result of:
0.018450128 = score(doc=5293,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.17461908 = fieldWeight in 5293, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.046875 = fieldNorm(doc=5293)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.7, S.660-674
-
Liu, Y.; Huang, X.; An, A.: Personalized recommendation with adaptive mixture of markov models (2007)
0.00
0.001098222 = product of:
0.0076875538 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 606) [ClassicSimilarity], result of:
0.0153751075 = score(doc=606,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 606, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=606)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1851-1870
-
Liu, Y.; Zhang, M.; Cen, R.; Ru, L.; Ma, S.: Data cleansing for Web information retrieval using query independent features (2007)
0.00
0.001098222 = product of:
0.0076875538 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 607) [ClassicSimilarity], result of:
0.0153751075 = score(doc=607,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 607, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=607)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1884-1898
-
Zhou, H.; Xiao, L.; Liu, Y.; Chen, X.: ¬The effect of prediscussion note-taking in hidden profile tasks (2018)
0.00
0.001098222 = product of:
0.0076875538 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 4184) [ClassicSimilarity], result of:
0.0153751075 = score(doc=4184,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 4184, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=4184)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.4, S.566-577
-
Sun, J.; Zhu, M.; Jiang, Y.; Liu, Y.; Wu, L.L.: Hierarchical attention model for personalized tag recommendation : peer effects on information value perception (2021)
0.00
0.001098222 = product of:
0.0076875538 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 98) [ClassicSimilarity], result of:
0.0153751075 = score(doc=98,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 98, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=98)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.2, S.173-189
-
Qin, C.; Liu, Y.; Ma, X.; Chen, J.; Liang, H.: Designing for serendipity in online knowledge communities : an investigation of tag presentation formats and openness to experience (2022)
0.00
0.001098222 = product of:
0.0076875538 = sum of:
0.0076875538 = product of:
0.0153751075 = sum of:
0.0153751075 = weight(_text_:science in 664) [ClassicSimilarity], result of:
0.0153751075 = score(doc=664,freq=2.0), product of:
0.10565929 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.04011181 = queryNorm
0.1455159 = fieldWeight in 664, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.0390625 = fieldNorm(doc=664)
0.5 = coord(1/2)
0.14285715 = coord(1/7)
- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.10, S.1401-1417
