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Journal articles on the topic 'Contextual search'

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Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Kiran, Rathi, and Mitula Pandya. "Contextual Search Results Clustering Using Lingo with Synonymity." International Journal of Scientific Research 2, no. 6 (June 1, 2012): 183–85. http://dx.doi.org/10.15373/22778179/june2013/58.

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2

Abdolmaleki, Abbas, David Simões, Nuno Lau, Luís Paulo Reis, and Gerhard Neumann. "Contextual Direct Policy Search." Journal of Intelligent & Robotic Systems 96, no. 2 (January 8, 2019): 141–57. http://dx.doi.org/10.1007/s10846-018-0968-4.

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3

Melucci, Massimo. "Contextual Search: A Computational Framework." Foundations and Trends® in Information Retrieval 6, no. 4-5 (2012): 257–405. http://dx.doi.org/10.1561/1500000023.

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4

Toh, Yi Ni, Caitlin A. Sisk, and Yuhong V. Jiang. "Contextual cueing in preview search." Attention, Perception, & Psychophysics 82, no. 6 (June 1, 2020): 2862–75. http://dx.doi.org/10.3758/s13414-020-02052-9.

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5

Toh, Yi Ni, Caitlin A. Sisk, and Yuhong V. Jiang. "Contextual cueing in preview search." Journal of Vision 20, no. 11 (October 20, 2020): 1259. http://dx.doi.org/10.1167/jov.20.11.1259.

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6

Hodsoll, John P., and Glyn W. Humphreys. "Preview Search and Contextual Cuing." Journal of Experimental Psychology: Human Perception and Performance 31, no. 6 (2005): 1346–58. http://dx.doi.org/10.1037/0096-1523.31.6.1346.

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7

Hoffmann, Joachim, and Albrecht Sebald. "Local Contextual Cuing in Visual Search." Experimental Psychology 52, no. 1 (January 2005): 31–38. http://dx.doi.org/10.1027/1618-3169.52.1.31.

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Abstract. Previous research has indicated that covariations between the global layout of search displays and target locations result in contextual cuing: the global context guides attention to probable target locations. The present experiments extend these findings by showing that local redundancies also facilitate visual search. Participants searched for randomly located targets in invariant homogenous displays, i.e., the global context provided information neither about the location nor about the identity of the target. The only redundancy referred to spatial relations between the targets and certain distractors: Two of the distractors were frequently presented next to the targets. In four of five experiments, targets with frequent flankers were detected faster than targets with rare flankers. The data suggest that this local contextual cuing does not depend on awareness of the redundant local topography but needs the redundantly related stimuli to be attended to.

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8

Walenchok, S., M. Hout, and S. Goldinger. "Categorical Contextual Cueing in Visual Search." Journal of Vision 14, no. 10 (August 22, 2014): 1074. http://dx.doi.org/10.1167/14.10.1074.

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9

Nabeta, Tomohiro, Fuminori Ono, and Jun-Ichiro Kawahara. "Transfer of Spatial Context from Visual to Haptic Search." Perception 32, no. 11 (November 2003): 1351–58. http://dx.doi.org/10.1068/p5135.

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Under incidental learning conditions, spatial layouts can be acquired implicitly and facilitate visual search (contextual-cueing effect). We examined whether the contextual-cueing effect is specific to the visual modality or transfers to the haptic modality. The participants performed 320 (experiment 1) or 192 (experiment 2) visual search trials based on a typical contextual-cueing paradigm, followed by haptic search trials in which half of the trials had layouts used in the previous visual search trials. The visual contextual-cueing effect was obtained in the learning phase. More importantly, the effect was transferred from visual to haptic searches; there was greater facilitation of haptic search trials when the spatial layout was the same as in the previous visual search trials, compared with trials in which the spatial layout differed from those in the visual search. This suggests the commonality of spatial memory to allocate focused attention in both visual and haptic modalities.

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10

Yang, Xi, Xinbo Gao, Bin Song, and Dong Yang. "Aurora image search with contextual CNN feature." Neurocomputing 281 (March 2018): 67–77. http://dx.doi.org/10.1016/j.neucom.2017.11.059.

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11

Zhen Liu, Houqiang Li, Wengang Zhou, Ruizhen Zhao, and Qi Tian. "Contextual Hashing for Large-Scale Image Search." IEEE Transactions on Image Processing 23, no. 4 (April 2014): 1606–14. http://dx.doi.org/10.1109/tip.2014.2305072.

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12

Calisi, D., L. Iocchi, D. Nardi, G. Randelli, and V. A. Ziparo. "Improving Search and Rescue Using Contextual Information." Advanced Robotics 23, no. 9 (January 2009): 1199–216. http://dx.doi.org/10.1163/156855309x452539.

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13

Lobel, Ilan, Renato Paes Leme, and Adrian Vladu. "Multidimensional Binary Search for Contextual Decision-Making." Operations Research 66, no. 5 (October 2018): 1346–61. http://dx.doi.org/10.1287/opre.2018.1722.

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14

Cha, Guang-Ho. "Capturing contextual relationship for effective media search." Multimedia Tools and Applications 56, no. 2 (December 3, 2010): 351–64. http://dx.doi.org/10.1007/s11042-010-0670-4.

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15

Sebyakin, Alexey. "The Possibilities of Using Contextual Information Search on Computer Media to Identify, Investigate and Prevent Crimes." Russian Journal of Criminology 13, no. 2 (April 24, 2019): 262–70. http://dx.doi.org/10.17150/2500-4255.2019.13(2).262-270.

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Contextual search is now actively used by various divisions of the law enforcement bodies to identify, investigate and prevent crimes. This instrument could be used both to search information online and to analyze local digital information carriers. Still, the task of contextual search does not currently have a single definition, and its place among the tasks of computer forensic examination is not clearly determined. The author examines various problem aspects of contextual search: its concept, its place among the tasks of forensic examination, modern understanding of the task of contextual search in other, including related, branches of science. The author describes contextual search methods in researching digital information within the framework of computer forensic examination and characterizes instruments which an expert could use to deal with the task of contextual search. Using this analysis, the author argues that contextual search is not an independent expert task, but a part of a more extensive expert task. The author also presents the views of different researchers on the concept of contextual information search and states that it is necessary to widen this concept in the light of the contemporary advances in the development information technology: it should be viewed as a method of searching for text fragments not only in the text files, but also in the graphic files. Special attention should be paid to the question of the effectiveness of using contextual search on the Internet, including its shadow segment, with the aim of crime prevention and prophylaxis, the author also analyzes the advantages and disadvantages of search mechanisms in online resources and meta-search systems.

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16

Kole, J. A., A. F. Healy, D. M. Fierman, and L. E. Bourne. "Contextual memory and skill transfer in category search." Memory & Cognition 38, no. 1 (December 4, 2009): 67–82. http://dx.doi.org/10.3758/mc.38.1.67.

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17

Beesley, Tom, Miguel A. Vadillo, Daniel Pearson, and David R. Shanks. "Configural learning in contextual cuing of visual search." Journal of Experimental Psychology: Human Perception and Performance 42, no. 8 (2016): 1173–85. http://dx.doi.org/10.1037/xhp0000185.

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18

Jegou, H., C. Schmid, H. Harzallah, and J. Verbeek. "Accurate Image Search Using the Contextual Dissimilarity Measure." IEEE Transactions on Pattern Analysis and Machine Intelligence 32, no. 1 (January 2010): 2–11. http://dx.doi.org/10.1109/tpami.2008.285.

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19

Esser-Adomako, Elizabeth G., Patrick Mead, Shane Kelly, and Matthew S. Peterson. "Contextual Relearning Following Target Relocation in Visual Search." Journal of Vision 19, no. 10 (September 6, 2019): 200b. http://dx.doi.org/10.1167/19.10.200b.

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20

Aivar, M. Pilar, Sandra Miguel, and Elena Sanz. "Contextual Cueing in a Comparative Visual Search task." Journal of Vision 19, no. 10 (September 6, 2019): 308b. http://dx.doi.org/10.1167/19.10.308b.

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21

Neider, M. B., and G. J. Zelinsky. "Effects of scene-based contextual guidance on search." Journal of Vision 5, no. 8 (March 16, 2010): 414. http://dx.doi.org/10.1167/5.8.414.

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22

Zheng, Liang, Shengjin Wang, Jingdong Wang, and Qi Tian. "Accurate Image Search with Multi-Scale Contextual Evidences." International Journal of Computer Vision 120, no. 1 (March 9, 2016): 1–13. http://dx.doi.org/10.1007/s11263-016-0889-2.

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23

Manginelli, Angela A., Franziska Geringswald, and Stefan Pollmann. "Visual Search Facilitation in Repeated Displays Depends on Visuospatial Working Memory." Experimental Psychology 59, no. 1 (July 1, 2012): 47–54. http://dx.doi.org/10.1027/1618-3169/a000125.

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When distractor configurations are repeated over time, visual search becomes more efficient, even if participants are unaware of the repetition. This contextual cueing is a form of incidental, implicit learning. One might therefore expect that contextual cueing does not (or only minimally) rely on working memory resources. This, however, is debated in the literature. We investigated contextual cueing under either a visuospatial or a nonspatial (color) visual working memory load. We found that contextual cueing was disrupted by the concurrent visuospatial, but not by the color working memory load. A control experiment ruled out that unspecific attentional factors of the dual-task situation disrupted contextual cueing. Visuospatial working memory may be needed to match current display items with long-term memory traces of previously learned displays.

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24

Zang, Xuelian, Lingyun Huang, Xiuna Zhu, Hermann J. Müller, and Zhuanghua Shi. "Influences of luminance contrast and ambient lighting on visual context learning and retrieval." Attention, Perception, & Psychophysics 82, no. 8 (September 4, 2020): 4007–24. http://dx.doi.org/10.3758/s13414-020-02106-y.

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Abstract Invariant spatial context can guide attention and facilitate visual search, an effect referred to as “contextual cueing.” Most previous studies on contextual cueing were conducted under conditions of photopic vision and high search item to background luminance contrast, leaving open the question whether the learning and/or retrieval of context cues depends on luminance contrast and ambient lighting. Given this, we conducted three experiments (each contains two subexperiments) to compare contextual cueing under different combinations of luminance contrast (high/low) and ambient lighting (photopic/mesopic). With high-contrast displays, we found robust contextual cueing in both photopic and mesopic environments, but the acquired contextual cueing could not be transferred when the display contrast changed from high to low in the photopic environment. By contrast, with low-contrast displays, contextual facilitation manifested only in mesopic vision, and the acquired cues remained effective following a switch to high-contrast displays. This pattern suggests that, with low display contrast, contextual cueing benefited from a more global search mode, aided by the activation of the peripheral rod system in mesopic vision, but was impeded by a more local, fovea-centered search mode in photopic vision.

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25

Beesley, Tom, Miguel A. Vadillo, Daniel Pearson, and David R. Shanks. "Pre-exposure of repeated search configurations facilitates subsequent contextual cuing of visual search." Journal of Experimental Psychology: Learning, Memory, and Cognition 41, no. 2 (2015): 348–62. http://dx.doi.org/10.1037/xlm0000033.

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26

Craven, Jenny, and Paul Levay. "Recording Database Searches for Systematic Reviews - What is the Value of Adding a Narrative to Peer-Review Checklists? A Case Study of NICE Interventional Procedures Guidance." Evidence Based Library and Information Practice 6, no. 4 (December 15, 2011): 72. http://dx.doi.org/10.18438/b8cd09.

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This paper discusses the value of open and transparent methods for recording systematic database search strategies, showing how they have been applied at the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom (UK). Objective – The objectives are to: 1) Discuss the value of search strategy recording methods. 2) Assess any limitations to the practical application of a checklist approach. 3) Make recommendations for recording systematic database searches. Methods – The procedures for recording searches for Interventional Procedures Guidance at NICE were examined. A sample of current methods for recording systematic searches identified in the literature was compared to the NICE processes. The case study analyses the search conducted for evidence about an interventional procedure and shows the practical issues involved in recording the database strategies. The case study explores why relevant papers were not retrieved by a search strategy meeting all of the criteria on the checklist used to peer review it. The evidence was required for guidance on non-rigid stabilisation techniques for the treatment of low back pain. Results – The analysis shows that amending the MEDLINE strategy to make it more sensitive would have increased its yield by 6614 articles. Examination of the search records together with correspondence between the analyst and the searcher reveals the peer reviewer had approved the search because its sensitivity was appropriate for the purpose of producing Interventional Procedures Guidance. The case study demonstrates the limitations of relying on a checklist to ensure the quality of a database search without having any contextual information. Conclusion – It is difficult for the peer reviewer to assess the subjective elements of a search without knowing why it has a particular structure or what the searcher intended. There is a risk that the peer reviewer will concentrate on the technical details, such as spelling mistakes, without having the contextual information. It is beneficial if the searcher records correspondence on key decisions and reports a summary alongside the search strategy. The narrative describes the major decisions that shaped the strategy and gives the peer reviewer an insight into the rationale for the search approach.

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27

Marek, Nico, and Stefan Pollmann. "Contextual-Cueing beyond the Initial Field of View—A Virtual Reality Experiment." Brain Sciences 10, no. 7 (July 13, 2020): 446. http://dx.doi.org/10.3390/brainsci10070446.

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In visual search, participants can incidentally learn spatial target-distractor configurations, leading to shorter search times for repeated compared to novel configurations. Usually, this is tested within the limited visual field provided by a computer monitor. While contextual cueing is typically investigated on two-dimensional screens, we present for the first time an implementation of a classic contextual cueing task (search for a T-shape among L-shapes) in a three-dimensional virtual environment. This enabled us to test if the typical finding of incidental learning of repeated search configurations, manifested by shorter search times, would hold in a three-dimensional virtual reality (VR) environment. One specific aspect that was tested by combining virtual reality and contextual cueing was if contextual cueing would hold for targets outside the initial field of view (FOV), requiring head movements to be found. In keeping with two-dimensional search studies, reduced search times were observed after the first epoch and remained stable in the remaining experiment. Importantly, comparable search time reductions were observed for targets both within and outside of the initial FOV. The results show that a repeated distractors-only configuration in the initial FOV can guide search for target locations requiring a head movement to be seen.

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28

Pollmann, Stefan, Lisa Rosenblum, Stefanie Linnhoff, Eleonora Porracin, Franziska Geringswald, Anne Herbik, Katja Renner, and Michael B. Hoffmann. "Preserved Contextual Cueing in Realistic Scenes in Patients with Age-Related Macular Degeneration." Brain Sciences 10, no. 12 (December 7, 2020): 941. http://dx.doi.org/10.3390/brainsci10120941.

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Foveal vision loss has been shown to reduce efficient visual search guidance due to contextual cueing by incidentally learned contexts. However, previous studies used artificial (T- among L-shape) search paradigms that prevent the memorization of a target in a semantically meaningful scene. Here, we investigated contextual cueing in real-life scenes that allow explicit memory of target locations in semantically rich scenes. In contrast to the contextual cueing deficits in artificial scenes, contextual cueing in patients with age-related macular degeneration (AMD) did not differ from age-matched normal-sighted controls. We discuss this in the context of visuospatial working-memory demands for which both eye movement control in the presence of central vision loss and memory-guided search may compete. Memory-guided search in semantically rich scenes may depend less on visuospatial working memory than search in abstract displays, potentially explaining intact contextual cueing in the former but not the latter. In a practical sense, our findings may indicate that patients with AMD are less deficient than expected after previous lab experiments. This shows the usefulness of realistic stimuli in experimental clinical research.

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29

Conci, Markus, and Hermann J. Müller. "Contextual learning of multiple target locations in visual search." Visual Cognition 20, no. 7 (August 2012): 746–70. http://dx.doi.org/10.1080/13506285.2012.694376.

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30

Yokoi, Keisuke, Minh-Quoc Nghiem, Yuichiroh Matsubayashi, and Akiko Aizawa. "Contextual Analysis of Mathematical Expressions for Advanced Mathematical Search." Polibits 43 (June 30, 2011): 81–86. http://dx.doi.org/10.17562/pb-43-11.

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31

Sayim, B., G. Westheimer, and M. H. Herzog. "Quantifying target conspicuity in contextual modulation by visual search." Journal of Vision 11, no. 1 (January 5, 2011): 6. http://dx.doi.org/10.1167/11.1.6.

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32

Ogawa, H., and K. Watanabe. "The time course of contextual modulation in visual search." Journal of Vision 6, no. 6 (March 24, 2010): 840. http://dx.doi.org/10.1167/6.6.840.

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33

Beesley, T., and David R. Shanks. "Investigating cue competition in contextual cuing of visual search." Journal of Experimental Psychology: Learning, Memory, and Cognition 38, no. 3 (2012): 709–25. http://dx.doi.org/10.1037/a0024885.

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34

Brézillon, Patrick, Laure Léger, and Charles Tijus. "Modeling user search on a website by contextual graphs." Revue d'intelligence artificielle 23, no. 4 (August 30, 2009): 467–84. http://dx.doi.org/10.3166/ria.23.467-484.

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35

Conci, M., and A. von Muhlenen. "Figure-ground segmentation determines contextual learning in visual search." Journal of Vision 9, no. 8 (September 3, 2010): 926. http://dx.doi.org/10.1167/9.8.926.

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36

Neider, Mark B., and Arthur F. Kramer. "Older Adults Capitalize on Contextual Information to Guide Search." Experimental Aging Research 37, no. 5 (October 2011): 539–71. http://dx.doi.org/10.1080/0361073x.2011.619864.

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37

Brockmole, James R., and John M. Henderson. "Using real-world scenes as contextual cues for search." Visual Cognition 13, no. 1 (January 2006): 99–108. http://dx.doi.org/10.1080/13506280500165188.

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38

Manginelli, Angela A., and Stefan Pollmann. "Misleading contextual cues: How do they affect visual search?" Psychological Research 73, no. 2 (December 10, 2008): 212–21. http://dx.doi.org/10.1007/s00426-008-0211-1.

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39

Cheuk, Ka Po, Saša Baškarada, and Andy Koronios. "Contextual factors in knowledge reuse." VINE Journal of Information and Knowledge Management Systems 47, no. 2 (May 8, 2017): 194–210. http://dx.doi.org/10.1108/vjikms-10-2016-0056.

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Purpose This paper aims to answer calls for more research on how contextual factors influence the effectiveness of knowledge reuse. Design/methodology/approach The findings are based on an in-depth case study conducted in the sales department of a large white goods company in Australia. Findings Six contextual factors identified include purpose, time pressure, language, accessibility, author and date. A mismatch in purpose between knowledge creation and reuse is most likely to reduce knowledge reuse effectiveness. Time pressures may lead to an increase in errors associated with search question definition as well as knowledge search and selection, while unfamiliar language is likely to lead to misinterpretations of content. Knowledge accessibility issues are of particular concern in time-sensitive situations. Authorship and creation date information may facilitate knowledge reuse by allowing consumers to filter unwanted knowledge. Originality/value This study contributes to knowledge management theory by providing an exploration of the ways in which contextual factors influence knowledge and reuse effectiveness, and of the possible relationships between those factors. The paper also provides knowledge management practitioners with tangible guidelines on how to increase the effectiveness of organizational knowledge reuse.

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40

Zhang, Xiaojuan, Shuguang Han, and Wei Lu. "Automatic prediction of news intent for search queries." Electronic Library 36, no. 5 (October 1, 2018): 938–58. http://dx.doi.org/10.1108/el-06-2017-0134.

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Purpose The purpose of this paper is to predict news intent by exploring contextual and temporal features directly mined from a general search engine query log. Design/methodology/approach First, a ground-truth data set with correctly marked news and non-news queries was built. Second, a detailed analysis of the search goals and topics distribution of news/non-news queries was conducted. Third, three news features, that is, the relationship between entity and contextual words extended from query sessions, topical similarity among clicked results and temporal burst point were obtained. Finally, to understand the utilities of the new features and prior features, extensive prediction experiments on SogouQ (a Chinese search engine query log) were conducted. Findings News intent can be predicted with high accuracy by using the proposed contextual and temporal features, and the macro average F1 of classification is around 0.8677. Contextual features are more effective than temporal features. All the three new features are useful and significant in improving the accuracy of news intent prediction. Originality/value This paper provides a new and different perspective in recognizing queries with news intent without use of such large corpora as social media (e.g. Wikipedia, Twitter and blogs) and news data sets. The research will be helpful for general-purpose search engines to address search intents for news events. In addition, the authors believe that the approaches described here in this paper are general enough to apply to other verticals with dynamic content and interest, such as blog or financial data.

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41

Li, Yi, Zhihui Yuan, Yujie Li, and Jing Liu. "Factors influencing search engine usage behavior." Social Behavior and Personality: an international journal 46, no. 1 (January 9, 2018): 1–10. http://dx.doi.org/10.2224/sbp.6211.

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We analyzed the effect of individual factors, contextual factors, and perception of search engine advertising on users' search engine usage behavior. The sample comprised 404 Chinese who used search engines in the context of their paid employment. Results showed that (a) perceived search skills and perceived search engine reliance significantly and positively impacted users' general search engine usage, (b) perceived advertising clutter reduced the beneficial effects of perceived search skills on users' general search engine usage, (c) users with higher perceived search engine reliance preferred search engines to other online search methods, and (d) prior negative experience reduced the positive link between perceived search engine reliance and users' specific search engine usage. Our findings suggest that search engine designers and operators should focus on individual and contextual factors influencing search engine usage behavior, and should consider users' perception of advertising on search engine programs.

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42

Assumpção, Leonardo, Zhuanghua Shi, Xuelian Zang, Hermann J. Müller, and Thomas Geyer. "Contextual cueing: implicit memory of tactile context facilitates tactile search." Attention, Perception, & Psychophysics 77, no. 4 (March 4, 2015): 1212–22. http://dx.doi.org/10.3758/s13414-015-0848-y.

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43

Harris, Anthony M., and Roger W. Remington. "Late guidance resolves the search slope paradox in contextual cueing." Psychonomic Bulletin & Review 27, no. 6 (August 10, 2020): 1300–1308. http://dx.doi.org/10.3758/s13423-020-01788-7.

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44

Walter, E., and P. Dassonville. "In search of the hidden: contextual processing in parietal cortex." Journal of Vision 7, no. 9 (March 18, 2010): 1061. http://dx.doi.org/10.1167/7.9.1061.

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45

Brady, Timothy F., and Marvin M. Chun. "Spatial constraints on learning in visual search: Modeling contextual cuing." Journal of Experimental Psychology: Human Perception and Performance 33, no. 4 (2007): 798–815. http://dx.doi.org/10.1037/0096-1523.33.4.798.

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46

Ogawa, H., and T. Kumada. "Coarse-to-fine encoding of contextual information in visual search." Journal of Vision 5, no. 8 (September 1, 2005): 945. http://dx.doi.org/10.1167/5.8.945.

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47

Wang, Zhenghong, Zhangjie Fu, and Xingming Sun. "Semantic Contextual Search Based on Conceptual Graphs over Encrypted Cloud." Security and Communication Networks 2018 (December 2, 2018): 1–10. http://dx.doi.org/10.1155/2018/1420930.

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Currently, searchable encryption becomes the focus topic with the emerging cloud computing paradigm. The existing research schemes are mainly semantic extensions of multiple keywords. However, the semantic information carried by the keywords is limited and does not respond well to the content of the document. And when the original scheme constructs the conceptual graph, it ignores the context information of the topic sentence, which leads to errors in the semantic extension. In this paper, we define and construct semantic search encryption scheme for context-based conceptual graph (ESSEC). We make contextual contact with the central key attributes in the topic sentence and extend its semantic information, so as to improve the accuracy of the retrieval and semantic relevance. Finally, experiments based on real data show that the scheme is effective and feasible.

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48

Mack, S. C., W. Schoonveld, and M. P. Eckstein. "Contextual cues facilitate search in real world 3-D environments." Journal of Vision 9, no. 8 (March 21, 2010): 1215. http://dx.doi.org/10.1167/9.8.1215.

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49

Pollmann, Stefan. "Working memory dependence of spatial contextual cueing for visual search." British Journal of Psychology 110, no. 2 (May 10, 2018): 372–80. http://dx.doi.org/10.1111/bjop.12311.

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50

Conci, Markus, and Adrian von Mühlenen. "Limitations of perceptual segmentation on contextual cueing in visual search." Visual Cognition 19, no. 2 (February 2011): 203–33. http://dx.doi.org/10.1080/13506285.2010.518574.

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