The document discusses different theories used in information retrieval systems. It describes cognitive or user-centered theories that model human information behavior and structural or system-centered theories like the vector space model. The vector space model represents documents and queries as vectors of term weights and compares similarities between queries and documents. It was first used in the SMART information retrieval system and involves assigning term vectors and weights to documents based on relevance.
Vector space model or term vector model is an algebraic model for representing text documents as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings. Its first use was in the SMART Information Retrieval System
Vector space model or term vector model is an algebraic model for representing text documents as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings. Its first use was in the SMART Information Retrieval System
Information retrieval 13 alternative set theoretic modelsVaibhav Khanna
Alternative Set Theoretic Models
Fuzzy Set Model :a set theoretic model of document retrieval based on fuzzy theory.
Extended Boolean Model:a set theoretic model of document retrieval based on an extension of the classic Boolean model. The idea is to interpret partial matches as Euclidean distances represented in a vectorial space of index terms.
This PPT contain details of Z39.50 and useful for Library Science students. This protocol used for information retrieval and in the end list of different types of protocols are given.
Types of recommender systems in information retrieval. Collaborative filtering is a very widely used method in recommendation systems. Content based filtering and collaborative filtering are two major approaches. Hybrid systems are now being employed to get better recommendations. One such method is content-boosted collaborative filtering.
Information retrival system and PageRank algorithmRupali Bhatnagar
We discuss the various models for Information retrieval system present in literature and discuss them mathematically. We also study the PageRank Algorithm which is used for relevant search.
The (standard) Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model and, at the same time, the first and most-adopted one. ... The BIR is based on Boolean logic and classical set theory in that both the documents to be searched and the user's query are conceived as sets of terms.
Software's now-a-days became the life line of modern day organizations. Libraries also need software if they want to create a parallel digital library with features which we may not find in a traditional library.
Information retrieval 14 fuzzy set models of irVaibhav Khanna
Fuzzy Model is a set theoretic model of document retrieval based on fuzzy theory. An opposite to this is the Exact match mechanism by which only the objects satisfying some well specified criteria, against object attributes, are returned to the user as a query answer.
Metrics envelop number of subject domains, e.g., general relativity under physics, networking, mathematics, software analysis, etc. --- STATISTICS
Enumerated in the slides are the different metric fields in information science.
Information Storage and Retrieval : A Case StudyBhojaraju Gunjal
Bhojaraju.G, M.S.Banerji and Muttayya Koganurmath (2004). Information Storage and Retrieval: A Case Study, In Proceedings of International Conference on Digital Libraries (ICDL 2004), New Delhi, Feb 24-27, 2004.
(Best Poster Presentation Award)
Information retrieval 13 alternative set theoretic modelsVaibhav Khanna
Alternative Set Theoretic Models
Fuzzy Set Model :a set theoretic model of document retrieval based on fuzzy theory.
Extended Boolean Model:a set theoretic model of document retrieval based on an extension of the classic Boolean model. The idea is to interpret partial matches as Euclidean distances represented in a vectorial space of index terms.
This PPT contain details of Z39.50 and useful for Library Science students. This protocol used for information retrieval and in the end list of different types of protocols are given.
Types of recommender systems in information retrieval. Collaborative filtering is a very widely used method in recommendation systems. Content based filtering and collaborative filtering are two major approaches. Hybrid systems are now being employed to get better recommendations. One such method is content-boosted collaborative filtering.
Information retrival system and PageRank algorithmRupali Bhatnagar
We discuss the various models for Information retrieval system present in literature and discuss them mathematically. We also study the PageRank Algorithm which is used for relevant search.
The (standard) Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model and, at the same time, the first and most-adopted one. ... The BIR is based on Boolean logic and classical set theory in that both the documents to be searched and the user's query are conceived as sets of terms.
Software's now-a-days became the life line of modern day organizations. Libraries also need software if they want to create a parallel digital library with features which we may not find in a traditional library.
Information retrieval 14 fuzzy set models of irVaibhav Khanna
Fuzzy Model is a set theoretic model of document retrieval based on fuzzy theory. An opposite to this is the Exact match mechanism by which only the objects satisfying some well specified criteria, against object attributes, are returned to the user as a query answer.
Metrics envelop number of subject domains, e.g., general relativity under physics, networking, mathematics, software analysis, etc. --- STATISTICS
Enumerated in the slides are the different metric fields in information science.
Information Storage and Retrieval : A Case StudyBhojaraju Gunjal
Bhojaraju.G, M.S.Banerji and Muttayya Koganurmath (2004). Information Storage and Retrieval: A Case Study, In Proceedings of International Conference on Digital Libraries (ICDL 2004), New Delhi, Feb 24-27, 2004.
(Best Poster Presentation Award)
Chao Wrote Some trends that influence human resource are, Leade.docxsleeperharwell
Chao Wrote:
Some trends that influence human resource are, Leadership Development and Learning Opportunities, Data and Analytics, Compliance and Regulation, Controlling and Containing Costs, and More Competition for Talent. But the one that I like and think its much important is leadership development and learning opportunity because in this role, companies give the employees the opportunity to learn and grow with the leadership training and this will show employees that the company wants employee to be more engage. Plus, this kind of program can also help nurture leadership abilities and professional development. The other trend I think that plays a very important role is knowing the compliance and regulations because in this area, compliance and regulation changes all the time and companies need to be more pro-active and make changes as they have updates with any new compliance or regulations. For this, many companies turn to technology solutions to minimize the costs and resources devoted to this task, freeing up HR professionals to focus on other aspects of their work. Some strategic resource examples include recruitment, learning and development, compensation, and performance appraisal.
Quane Wrote:
Hi Dr. Clark and Classmates,
Through my assigned reading for week 1, I've learned that one-third of large U.S. businesses selected non-Human Resources managers to operate in top tier executive positions. Consequently, the most successful Human Resource executive do have prior Human Resources experience so for the select few managers without a Human Resource background that get the opportunity to serve in a Human Resource executive will increase their probability of successful career progression. The new tentative transition for businesses is to outsource the majority of their Human Resource operational needs to large Human Resource firms that service multiple businesses. Many frequently utilized services will be offered to employees online in order to address the increased demand for specialized Human Resource services as well as shorten response times and increase efficiency.
Strategic Human Resource Management is the process of determining ways to evaluate an organization's unique Human Resources need and create a plan that facilitates the establishment and maintenance of efficient personnel management systems that support the short term and long term functionality and sustained growth of an organization.
Exercise 8 - Case Study Research
Develop a hypothetical research scenario that would warrant the application of the case study.
What type of approach within the qualitative method would be used? Why or why not?
Exercise 9 - Perspectives in Qualitative Methods
Develop a hypothetical research scenario that would warrant the application of the ethnographic, narrative or phenomenological approach.
What type of design would be best utilized along with this approach?
Exercise 10 - Factors in Mixed Methods Research
What are the strengths.
Chao Wrote Some trends that influence human resource are, Leade.docxketurahhazelhurst
Chao Wrote:
Some trends that influence human resource are, Leadership Development and Learning Opportunities, Data and Analytics, Compliance and Regulation, Controlling and Containing Costs, and More Competition for Talent. But the one that I like and think its much important is leadership development and learning opportunity because in this role, companies give the employees the opportunity to learn and grow with the leadership training and this will show employees that the company wants employee to be more engage. Plus, this kind of program can also help nurture leadership abilities and professional development. The other trend I think that plays a very important role is knowing the compliance and regulations because in this area, compliance and regulation changes all the time and companies need to be more pro-active and make changes as they have updates with any new compliance or regulations. For this, many companies turn to technology solutions to minimize the costs and resources devoted to this task, freeing up HR professionals to focus on other aspects of their work. Some strategic resource examples include recruitment, learning and development, compensation, and performance appraisal.
Quane Wrote:
Hi Dr. Clark and Classmates,
Through my assigned reading for week 1, I've learned that one-third of large U.S. businesses selected non-Human Resources managers to operate in top tier executive positions. Consequently, the most successful Human Resource executive do have prior Human Resources experience so for the select few managers without a Human Resource background that get the opportunity to serve in a Human Resource executive will increase their probability of successful career progression. The new tentative transition for businesses is to outsource the majority of their Human Resource operational needs to large Human Resource firms that service multiple businesses. Many frequently utilized services will be offered to employees online in order to address the increased demand for specialized Human Resource services as well as shorten response times and increase efficiency.
Strategic Human Resource Management is the process of determining ways to evaluate an organization's unique Human Resources need and create a plan that facilitates the establishment and maintenance of efficient personnel management systems that support the short term and long term functionality and sustained growth of an organization.
Exercise 8 - Case Study Research
Develop a hypothetical research scenario that would warrant the application of the case study.
What type of approach within the qualitative method would be used? Why or why not?
Exercise 9 - Perspectives in Qualitative Methods
Develop a hypothetical research scenario that would warrant the application of the ethnographic, narrative or phenomenological approach.
What type of design would be best utilized along with this approach?
Exercise 10 - Factors in Mixed Methods Research
What are the strengths ...
Achieving Highly Effective Personalized Learning through Learning ObjectsBabatunde Ishola
A personalized learning system is one in which the information delivered to learners is customized to fit their personal or environmental preferences. Despite the existence of some evidence of the value of personalized learning, there is, to date no widely used personalized learning systems. This paper argues that the primary reason is because of the absence of repositories with the requisite properties. The paper presents the four conditions that any system used for personalized learning delivery would need to have for
it to be effective. The paper then describes the architectural features that such a system must also have.
Graduate Paper--Hierarchical clustring and topology for psychometrics paperColleen Farrelly
Paper presents general alternative to traditional psychometrics methods (factor analysis...) on an example survey (from a bridging concept in psychology that is typically hard to measure); PPT by this name distills the mathematic machinery.
PPT is found here: https://www.slideshare.net/ColleenFarrelly/hierarchical-clustering-for-psychometric-validation-76735689
To cite: Farrelly, C. M., Schwartz, S. J., Amodeo, A. L., Feaster, D. J., Steinley, D. L., Meca, A., & Picariello, S. (2017). The Analysis of Bridging Constructs with Hierarchical Clustering Methods: An application to identity. Journal of Research in Personality.
Data Mining for Education
Ryan S.J.d. Baker, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
rsbaker@cmu.edu
Article to appear as
Baker, R.S.J.d. (in press) Data Mining for Education. To appear in McGaw, B., Peterson, P.,
Baker, E. (Eds.) International Encyclopedia of Education (3rd edition). Oxford, UK: Elsevier.
This is a pre-print draft. Final article may involve minor changes and different formatting.
The Case StudyMany disciplines use various forms of the ca.docxmamanda2
The Case Study
Many disciplines use various forms of the case study to examine an individual or phenomenon within a specified context. The approach and application of case study designs also can vary widely between various disciplines such as medicine, law, and the social sciences. However, in the social and behavioral sciences, case studies are often referred to as uncontrolled studies. Yin (2013) defined the case study as an empirical inquiry that investigates a phenomenon within its real-world context, when the boundaries between phenomena and context are not clearly evident, in which multiple data sources are used. Yin referred to the case study as a “method” as opposed to confining it to only an approach or a “tradition” within the various forms of qualitative research (e.g., Creswell, 2012). Generally, the focus of the case study is on developing a narrative or revealing a phenomenon based on an in-depth, real-time, or retrospective analysis of a case. Therefore, issues related to experimental control and internal validity are nonfactors within this approach. Although case studies do not infer causation and the results should not be generalized, the findings can provide rich insight toward phenomena and serve as support for theories and the generation of hypotheses. However, if desired, Yin does offer approaches and models for researchers interested in attempting to infer causation from case study designs (which differs from QCA analysis).
The emphasis in a case study is primarily the qualitative method; however, cross sections of quantitative data are usually collected as supplementary data throughout the analyses (see mixed method embedded case study design). The label of case study is often applied to many social science examinations as a catchall term, many times misapplying the concept (Malcolm, 2010). However, the case study design can be applied to any of the approaches within the qualitative method, such as the most commonly applied narrative and phenomenological approach in psychology (Singer & Bonalume, 2010a) or the ethnographic approach in education (Creswell, 2014). Creswell took a different angle than Yin (2013) regarding the type and description of designs for the case study. Gall, Gall, and Borg (2007) succinctly described a case study “as (a) the in-depth study of (b) one or more instances of a phenomenon (c) in its real-life context that (d) reflects the perspective of the participants involved in the phenomenon” (p. 447).
Confusion does arise when authors use different terminology for similar constructs. These semantic differences can be seen in the work of Yin, who uniquely defined and applied the terms holistic and embedded (see Appendix B) differently than their traditional uses; for example, the term embedded has an entirely different meaning when used by Creswell. Another example of this is the term case study design, used within the qualitative method and most often associated with the ethnographic and phenomeno.
The Case StudyMany disciplines use various forms of the ca.docxarnoldmeredith47041
The Case Study
Many disciplines use various forms of the case study to examine an individual or phenomenon within a specified context. The approach and application of case study designs also can vary widely between various disciplines such as medicine, law, and the social sciences. However, in the social and behavioral sciences, case studies are often referred to as uncontrolled studies. Yin (2013) defined the case study as an empirical inquiry that investigates a phenomenon within its real-world context, when the boundaries between phenomena and context are not clearly evident, in which multiple data sources are used. Yin referred to the case study as a “method” as opposed to confining it to only an approach or a “tradition” within the various forms of qualitative research (e.g., Creswell, 2012). Generally, the focus of the case study is on developing a narrative or revealing a phenomenon based on an in-depth, real-time, or retrospective analysis of a case. Therefore, issues related to experimental control and internal validity are nonfactors within this approach. Although case studies do not infer causation and the results should not be generalized, the findings can provide rich insight toward phenomena and serve as support for theories and the generation of hypotheses. However, if desired, Yin does offer approaches and models for researchers interested in attempting to infer causation from case study designs (which differs from QCA analysis).
The emphasis in a case study is primarily the qualitative method; however, cross sections of quantitative data are usually collected as supplementary data throughout the analyses (see mixed method embedded case study design). The label of case study is often applied to many social science examinations as a catchall term, many times misapplying the concept (Malcolm, 2010). However, the case study design can be applied to any of the approaches within the qualitative method, such as the most commonly applied narrative and phenomenological approach in psychology (Singer & Bonalume, 2010a) or the ethnographic approach in education (Creswell, 2014). Creswell took a different angle than Yin (2013) regarding the type and description of designs for the case study. Gall, Gall, and Borg (2007) succinctly described a case study “as (a) the in-depth study of (b) one or more instances of a phenomenon (c) in its real-life context that (d) reflects the perspective of the participants involved in the phenomenon” (p. 447).
Confusion does arise when authors use different terminology for similar constructs. These semantic differences can be seen in the work of Yin, who uniquely defined and applied the terms holistic and embedded (see Appendix B) differently than their traditional uses; for example, the term embedded has an entirely different meaning when used by Creswell. Another example of this is the term case study design, used within the qualitative method and most often associated with the ethnographic and phenomeno.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
2.
Theory based approach to design various
aspects of information retrieval systems
Based on a set of principles and assumptions
Theory drives experiment by suggesting new
ways and means of doing tests
Experiment drives theory by justifying or
helping to improve the model
3.
Cognitive or user centered
◦ Human information behaviour models
◦ Eg: Wilson’s model, Dervin’s model, Ellis’s model,
Bates’s model, Kulthau’s model, etc...
Structural or system centered
◦ Classical models based on logical and mathematical
principles
◦ Eg: Boolean search model, Vector Space model,
probabilistic model, etc...
4.
Also called as ‘term vector model’ or ‘vector
processing model’
Represents both documents and queries by term
sets and compares global similarities between
queries and documents
used in information filtering, information
retrieval, indexing and relevancy rankings
first use was in the SMART Information Retrieval
System
5.
term vectors are assigned for the keywords of the
documents and weights are provided according to
relevance
to compare different texts and retrieve relevant
records similar to the queries
terms are single words, keywords, or longer phrases
If words are chosen to be the terms, the
dimensionality of the vector is the number of words
in the vocabulary (the number of distinct words occurring in the corpus)
6.
BASICS: (i and j are 2 documents, k – term, t – last term)
◦ Denotes the sum of the weights of all properties of
a vector
◦ Denotes the sum of products of corresponding term
weights for two vectors
7. ◦ Denotes the sum of minimum component weights
of the corresponding two vectors
Similarity coefficients
◦ The Dice Coefficient
◦ The Jaccard Coefficient
acc. to Salton and McGill
8. Let the weights for the index terms assigned to two
documents i and j be as follows:
Doci = 3,2,1,0,0,0,1,1
Docj = 1,1,1,0,0,1,0,0