Getting into Information Retrieval

Rijsbergen, C. J. van

doi:10.1007/3-540-45368-7_1

Cited by 183 publications

(205 citation statements)

References 29 publications

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“…Each collected document is then passed through an information extraction system to extract document representatives and bibliographic information to form indexes. 16,22 These indexes will be grouped based on the similarity of documents. The search engines entertain user queries and provide a list of relevant documents in a user-friendly format.…”

Section: Web Search Enginesmentioning

confidence: 99%

“…It refers to the Internet-based remote information. The conventional indexing database contains document representatives 22 or indices to represent documents in domain knowledge base. The learning order indexing database contains term relationship graphs that represent documents, and their values of relative difficulty ratio.…”

Section: A Student's Background Knowledgementioning

confidence: 99%

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Supporting online learning with games

2007

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This paper presents a study on Web-based learning support systems that is enhanced with two major subsystems: a Webbased learning game and a learning-oriented Web search. The Internet and the Web may be considered as a first resource for students seeking for information and help. However, much of the information available online is not related to the course contents or is wrong in the worse case. The search subsystem aims to provide students with precise, relative and adaptable documents about certain courses or classes. Therefore, students do not have to spend time to verify the relationship of documents to the class. The learning game subsystem stimulates students to study, enables students to review their studies and to perform self-evaluation through a Web-based learning game such as a treasure hunt game. During the challenge and entertaining learning and evaluation process, it is hoped that students will eventually understand and master the course concepts easily. The goal of developing such a system is to provide students with an efficient and effective learning environment.

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Section: Web Search Enginesmentioning

confidence: 99%

Section: A Student's Background Knowledgementioning

confidence: 99%

Supporting online learning with games

2007

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“…In the information retrieval framework, there also exists a clustering hypothesis which was formulated as follows: "closely associated documents tend to be relevant to the same requests" [117]. There we may see the request as the expected categories or classes of each desired cluster.…”

Section: The Clustering Hypothesismentioning

confidence: 99%

“…In information retrieval, for instance, the expansion of query terms is a well researched topic which has shown to improve results in terms of when query expansion is not employed [113,123,7,44,117].…”

Section: Term Expansion Using External Knowledgementioning

confidence: 99%

“…The clustering of documents has been approached in different areas of text processing, such as text mining, summarization and information retrieval. In [117] and [67], for instance, the way document clustering improves precision or recall in information retrieval systems has been studied. The grouping of all the documents that are conceptually similar and, the use of the similarity value between the centroid of each group and a target query has also been studied in the literature.…”

Section: Introductionmentioning

confidence: 99%

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On Clustering and Evaluation of Narrow Domain Short-Test Corpora

Avendaño¹,

Eduardo²

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Detecting outliers beyond tolerance limits derived from statistical process control in patient‐specific quality assurance

Tan,

Lew,

Wong

et al. 2023

J Applied Clin Med Phys

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BackgroundTolerance limit is defined on pre‐treatment patient specific quality assurance results to identify “out of the norm” dose discrepancy in plan. An out‐of‐tolerance plan during measurement can often cause treatment delays especially if replanning is required. In this study, we aim to develop an outlier detection model to identify out‐of‐tolerance plan early during treatment planning phase to mitigate the above‐mentioned risks.MethodsPatient‐specific quality assurance results with portal dosimetry for stereotactic body radiotherapy measured between January 2020 and December 2021 were used in this study. Data were divided into thorax and pelvis sites and gamma passing rates were recorded using 2%/2 mm, 2%/1 mm, and 1%/1 mm gamma criteria. Statistical process control method was used to determine six different site and criterion‐specific tolerance and action limits. Using only the inliers identified with our determined tolerance limits, we trained three different outlier detection models using the plan complexity metrics extracted from each treatment field—robust covariance, isolation forest, and one class support vector machine. The hyperparameters were optimized using the F1‐score calculated from both the inliers and validation outliers’ data.Results308 pelvis and 200 thorax fields were used in this study. The tolerance (action) limits for 2%/2 mm, 2%/1 mm, and 1%/1 mm gamma criteria in the pelvis site are 99.1% (98.1%), 95.8% (91.1%), and 91.7% (86.1%), respectively. The tolerance (action) limits in the thorax site are 99.0% (98.7%), 97.0% (96.2%), and 91.5% (87.2%). One class support vector machine performs the best among all the algorithms. The best performing model in the thorax (pelvis) site achieves a precision of 0.56 (0.54), recall of 1.0 (1.0), and F1‐score of 0.72 (0.70) when using the 2%/2 mm (2%/1 mm) criterion.ConclusionThe model will help the planner to identify an out‐of‐tolerance plan early so that they can refine the plan further during the planning stage without risking late discovery during measurement.

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Getting into Information Retrieval

Cited by 183 publications

References 29 publications

Supporting online learning with games

Supporting online learning with games

On Clustering and Evaluation of Narrow Domain Short-Test Corpora

Detecting outliers beyond tolerance limits derived from statistical process control in patient‐specific quality assurance

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