Search (32 results, page 1 of 2)

0.05239594 = product of:
  0.10479188 = sum of:
    0.054594137 = weight(_text_:social in 405) [ClassicSimilarity], result of:
      0.054594137 = score(doc=405,freq=10.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.29554293 = fieldWeight in 405, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0234375 = fieldNorm(doc=405)
    0.050197743 = sum of:
      0.031368516 = weight(_text_:aspects in 405) [ClassicSimilarity], result of:
        0.031368516 = score(doc=405,freq=2.0), product of:
          0.20938325 = queryWeight, product of:
            4.5198684 = idf(docFreq=1308, maxDocs=44218)
            0.046325076 = queryNorm
          0.14981388 = fieldWeight in 405, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.5198684 = idf(docFreq=1308, maxDocs=44218)
            0.0234375 = fieldNorm(doc=405)
      0.018829225 = weight(_text_:22 in 405) [ClassicSimilarity], result of:
        0.018829225 = score(doc=405,freq=2.0), product of:
          0.16222252 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046325076 = queryNorm
          0.116070345 = fieldWeight in 405, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0234375 = fieldNorm(doc=405)
  0.5 = coord(2/4)

Abstract

Human brain size nearly quadrupled in the six million years since Homo last shared a common ancestor with chimpanzees, but human brains are thought to have decreased in volume since the end of the last Ice Age. The timing and reason for this decrease is enigmatic. Here we use change-point analysis to estimate the timing of changes in the rate of hominin brain evolution. We find that hominin brains experienced positive rate changes at 2.1 and 1.5 million years ago, coincident with the early evolution of Homo and technological innovations evident in the archeological record. But we also find that human brain size reduction was surprisingly recent, occurring in the last 3,000 years. Our dating does not support hypotheses concerning brain size reduction as a by-product of body size reduction, a result of a shift to an agricultural diet, or a consequence of self-domestication. We suggest our analysis supports the hypothesis that the recent decrease in brain size may instead result from the externalization of knowledge and advantages of group-level decision-making due in part to the advent of social systems of distributed cognition and the storage and sharing of information. Humans live in social groups in which multiple brains contribute to the emergence of collective intelligence. Although difficult to study in the deep history of Homo, the impacts of group size, social organization, collective intelligence and other potential selective forces on brain evolution can be elucidated using ants as models. The remarkable ecological diversity of ants and their species richness encompasses forms convergent in aspects of human sociality, including large group size, agrarian life histories, division of labor, and collective cognition. Ants provide a wide range of social systems to generate and test hypotheses concerning brain size enlargement or reduction and aid in interpreting patterns of brain evolution identified in humans. Although humans and ants represent very different routes in social and cognitive evolution, the insights ants offer can broadly inform us of the selective forces that influence brain size.

Source

Frontiers in ecology and evolution, 22 October 2021 [https://www.frontiersin.org/articles/10.3389/fevo.2021.742639/full]

0.020346032 = product of:
  0.08138413 = sum of:
    0.08138413 = weight(_text_:social in 5736) [ClassicSimilarity], result of:
      0.08138413 = score(doc=5736,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.44056937 = fieldWeight in 5736, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.078125 = fieldNorm(doc=5736)
  0.25 = coord(1/4)

Abstract

Tristan Harris gilt als "Gewissen des Silicon Valley". Der frühere Google-Entwickler warnt vor den psychischen Folgen der Social-Media-Nutzung.

0.020141546 = product of:
  0.08056618 = sum of:
    0.08056618 = weight(_text_:social in 5929) [ClassicSimilarity], result of:
      0.08056618 = score(doc=5929,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.43614143 = fieldWeight in 5929, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5929)
  0.25 = coord(1/4)

Abstract

A systematic literature review is carried out, detailing the research topics and the methods and techniques used in information science in studies published between 2000 and 2019. The results obtained allow us to affirm that there is no consensus on the core topics of information science, as these evolve and change dynamically in relation to other disciplines, and with the dominant social and cultural contexts. With regard to the research methods and techniques, it can be stated that they have mostly been adopted from social sciences, with the addition of numerical methods, especially in the fields of bibliometric and scientometric research.

0.015328439 = product of:
  0.061313756 = sum of:
    0.061313756 = product of:
      0.18394126 = sum of:
        0.18394126 = weight(_text_:3a in 5669) [ClassicSimilarity], result of:
          0.18394126 = score(doc=5669,freq=2.0), product of:
            0.3927445 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046325076 = queryNorm
            0.46834838 = fieldWeight in 5669, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5669)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Content

"Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."

0.0142422225 = product of:
  0.05696889 = sum of:
    0.05696889 = weight(_text_:social in 293) [ClassicSimilarity], result of:
      0.05696889 = score(doc=293,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.30839854 = fieldWeight in 293, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0546875 = fieldNorm(doc=293)
  0.25 = coord(1/4)

0.01220762 = product of:
  0.04883048 = sum of:
    0.04883048 = weight(_text_:social in 981) [ClassicSimilarity], result of:
      0.04883048 = score(doc=981,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.26434162 = fieldWeight in 981, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=981)
  0.25 = coord(1/4)

Abstract

In the blooming area of Internet technology, the concept of Internet-of-Things (IoT) holds a distinct position that interconnects a large number of smart objects. In the context of social IoT (SIoT), the argument of trust and reliability is evaluated in the presented work. The proposed framework is divided into two blocks, namely Verification Block (VB) and Evaluation Block (EB). VB defines various ontology-based relationships computed for the objects that reflect the security and trustworthiness of an accessed service. While, EB is used for the feedback analysis and proves to be a valuable step that computes and governs the success rate of the service. Support vector machine (SVM) is applied to categorise the trust-based evaluation. The security aspect of the proposed approach is comparatively evaluated for DDoS and malware attacks in terms of success rate, trustworthiness and execution time. The proposed secure ontology-based framework provides better performance compared with existing architectures.

0.011509455 = product of:
  0.04603782 = sum of:
    0.04603782 = weight(_text_:social in 829) [ClassicSimilarity], result of:
      0.04603782 = score(doc=829,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.24922368 = fieldWeight in 829, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=829)
  0.25 = coord(1/4)

Abstract

Constructivism in the social sciences has known several ups and downs over the last decades. It was successful rather early in sociology but hotly contested in International Politics/Relations (IR). Oddly enough, just at the moments it made important inroads into the research agenda and became accepted by the mainstream, the enthusiasm for it waned. Many constructivists-as did mainstream scholars-moved from "grand theory" or even "meta-theory" toward "normal science," or experimented with other (eclectic) approaches, of which the turns to practices, to emotions, to new materialism, to the visual, and to the queer are some of the latest manifestations. In a way, constructivism was "successful," on the one hand, by introducing norms, norm-dynamics, and diffusion; the role of new actors in world politics; and the changing role of institutions into the debates, while losing, on the other hand, much of its critical potential. The latter survived only on the fringes-and in Europe more than in the United States. In IR, curiously, constructivism, which was rooted in various European traditions (philosophy, history, linguistics, social analysis), was originally introduced in Europe via the disciplinary discussions taking place in the United States. Yet, especially in its critical version, it has found a more conducive environment in Europe than in the United States.

0.010173016 = product of:
  0.040692065 = sum of:
    0.040692065 = weight(_text_:social in 3940) [ClassicSimilarity], result of:
      0.040692065 = score(doc=3940,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 3940, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3940)
  0.25 = coord(1/4)

Content

"Ich gehe stark davon aus, dass wir in Zukunft cloudbasierte Rechercheplattformen sehen werden, die folgende Features beinhalten: - Kollaboration und Zusammenarbeit (ähnlich beispielsweise Office 365) in einem Tool über diverse Datenquellen hinweg, - die Möglichkeit, interne und externe Stakeholder zu Recherchen einzuladen bzw. Ergebnisse effektiver zu teilen (Integration von firmeninternen Kommunikationssystemen wie Slack in die Plattform), - Kommentieren und Diskutieren von Dashboards, Charts und Datenpunkten im Social Media Stil, - Aufzeichnen von Recherchen mit "Screen Capture Technologie", - Nutzerprofile im Stile von LinkedIn, die es einfacher machen, Experten in einem Bereich zu identifizieren und eine sichtbare Auszeichnung darstellen, - neue KPI, die den Return on Investment moderner Technologien messen (zum Beispiel Time from Data Ingestion to Shared Insights, Number of People Reached in Company, Number of Insights Generated from Data Source).

0.010173016 = product of:
  0.040692065 = sum of:
    0.040692065 = weight(_text_:social in 5853) [ClassicSimilarity], result of:
      0.040692065 = score(doc=5853,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 5853, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5853)
  0.25 = coord(1/4)

Abstract

COVID-19 is an unprecedented global health crisis that will have immeasurable consequences for our economic and social well-being. Tedros Adhanom Ghebreyesus, the director general of the World Health Organization, stated "We're not just fighting an epidemic; we're fighting an infodemic". Currently, there is no robust scientific basis to the existing definitions of false information used in the fight against the COVID-19infodemic. The purpose of this paper is to demonstrate how the use of a novel taxonomy and related model (based upon a conceptual framework that synthesizes insights from information science, philosophy, media studies and politics) can produce new scientific definitions of mis-, dis- and malinformation. We undertake our analysis from the viewpoint of information systems research. The conceptual approach to defining mis-,dis- and malinformation can be applied to a wide range of empirical examples and, if applied properly, may prove useful in fighting the COVID-19 infodemic. In sum, our research suggests that: (i) analyzing all types of information is important in the battle against the COVID-19 infodemic; (ii) a scientific approach is required so that different methods are not used by different studies; (iii) "misinformation", as an umbrella term, can be confusing and should be dropped from use; (iv) clear, scientific definitions of information types will be needed going forward; (v) malinformation is an overlooked phenomenon involving reconfigurations of the truth.

0.010173016 = product of:
  0.040692065 = sum of:
    0.040692065 = weight(_text_:social in 128) [ClassicSimilarity], result of:
      0.040692065 = score(doc=128,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 128, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=128)
  0.25 = coord(1/4)

Abstract

Künstliche Intelligenz (KI) und natürliches Sprachverstehen (natural language understanding/NLU) verändern viele Aspekte unseres Alltags und unserer Arbeitsweise. Besondere Prominenz erlangte NLU durch Sprachassistenten wie Siri, Alexa und Google Now. NLU bietet Firmen und Einrichtungen das Potential, Prozesse effizienter zu gestalten und Mehrwert aus textuellen Inhalten zu schöpfen. So sind NLU-Lösungen in der Lage, komplexe, unstrukturierte Dokumente inhaltlich zu erschließen. Für die semantische Textanalyse hat das NLU-Team des IAIS Sprachmodelle entwickelt, die mit Deep-Learning-Verfahren trainiert werden. Die NLU-Suite analysiert Dokumente, extrahiert Eckdaten und erstellt bei Bedarf sogar eine strukturierte Zusammenfassung. Mit diesen Ergebnissen, aber auch über den Inhalt der Dokumente selbst, lassen sich Dokumente vergleichen oder Texte mit ähnlichen Informationen finden. KI-basierten Sprachmodelle sind der klassischen Verschlagwortung deutlich überlegen. Denn sie finden nicht nur Texte mit vordefinierten Schlagwörtern, sondern suchen intelligent nach Begriffen, die in ähnlichem Zusammenhang auftauchen oder als Synonym gebraucht werden. Der Vortrag liefert eine Einordnung der Begriffe "Künstliche Intelligenz" und "Natural Language Understanding" und zeigt Möglichkeiten, Grenzen, aktuelle Forschungsrichtungen und Methoden auf. Anhand von Praxisbeispielen wird anschließend demonstriert, wie NLU zur automatisierten Belegverarbeitung, zur Katalogisierung von großen Datenbeständen wie Nachrichten und Patenten und zur automatisierten thematischen Gruppierung von Social Media Beiträgen und Publikationen genutzt werden kann.

0.010173016 = product of:
  0.040692065 = sum of:
    0.040692065 = weight(_text_:social in 972) [ClassicSimilarity], result of:
      0.040692065 = score(doc=972,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 972, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=972)
  0.25 = coord(1/4)

Abstract

Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, we introduce generative agents--computational software agents that simulate believable human behavior. Generative agents wake up, cook breakfast, and head to work; artists paint, while authors write; they form opinions, notice each other, and initiate conversations; they remember and reflect on days past as they plan the next day. To enable generative agents, we describe an architecture that extends a large language model to store a complete record of the agent's experiences using natural language, synthesize those memories over time into higher-level reflections, and retrieve them dynamically to plan behavior. We instantiate generative agents to populate an interactive sandbox environment inspired by The Sims, where end users can interact with a small town of twenty five agents using natural language. In an evaluation, these generative agents produce believable individual and emergent social behaviors: for example, starting with only a single user-specified notion that one agent wants to throw a Valentine's Day party, the agents autonomously spread invitations to the party over the next two days, make new acquaintances, ask each other out on dates to the party, and coordinate to show up for the party together at the right time. We demonstrate through ablation that the components of our agent architecture--observation, planning, and reflection--each contribute critically to the believability of agent behavior. By fusing large language models with computational, interactive agents, this work introduces architectural and interaction patterns for enabling believable simulations of human behavior.

0.009414612 = product of:
  0.03765845 = sum of:
    0.03765845 = product of:
      0.0753169 = sum of:
        0.0753169 = weight(_text_:22 in 4156) [ClassicSimilarity], result of:
          0.0753169 = score(doc=4156,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.46428138 = fieldWeight in 4156, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.09375 = fieldNorm(doc=4156)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

2. 3.2020 14:08:22

0.009242038 = product of:
  0.036968153 = sum of:
    0.036968153 = product of:
      0.073936306 = sum of:
        0.073936306 = weight(_text_:aspects in 1077) [ClassicSimilarity], result of:
          0.073936306 = score(doc=1077,freq=4.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.35311472 = fieldWeight in 1077, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1077)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

Purpose This paper offers a definition of the core of information science, which encompasses most research in the field. The definition provides a unique identity for information science and positions it in the disciplinary universe. Design/methodology/approach After motivating the objective, a definition of the core and an explanation of its key aspects are provided. The definition is related to other definitions of information science before controversial discourse aspects are briefly addressed: discipline vs. field, science vs. humanities, library vs. information science and application vs. theory. Interdisciplinarity as an often-assumed foundation of information science is challenged. Findings Information science is concerned with how information is manifested across space and time. Information is manifested to facilitate and support the representation, access, documentation and preservation of ideas, activities, or practices, and to enable different types of interactions. Research and professional practice encompass the infrastructures - institutions and technology -and phenomena and practices around manifested information across space and time as its core contribution to the scholarly landscape. Information science collaborates with other disciplines to work on complex information problems that need multi- and interdisciplinary approaches to address them. Originality/value The paper argues that new information problems may change the core of the field, but throughout its existence, the discipline has remained quite stable in its central focus, yet proved to be highly adaptive to the tremendous changes in the forms, practices, institutions and technologies around and for manifested information.

0.009149151 = product of:
  0.036596604 = sum of:
    0.036596604 = product of:
      0.07319321 = sum of:
        0.07319321 = weight(_text_:aspects in 52) [ClassicSimilarity], result of:
          0.07319321 = score(doc=52,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.3495657 = fieldWeight in 52, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0546875 = fieldNorm(doc=52)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 5846) [ClassicSimilarity], result of:
          0.062764086 = score(doc=5846,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 5846, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=5846)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

4. 5.2020 17:22:40

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 5906) [ClassicSimilarity], result of:
          0.062764086 = score(doc=5906,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 5906, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=5906)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

4. 5.2020 17:22:28

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 5907) [ClassicSimilarity], result of:
          0.062764086 = score(doc=5907,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 5907, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=5907)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

22. 6.2020 19:11:24

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 82) [ClassicSimilarity], result of:
          0.062764086 = score(doc=82,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 82, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=82)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

22. 6.2020 19:16:24

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 236) [ClassicSimilarity], result of:
          0.062764086 = score(doc=236,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 236, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=236)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

7. 5.2021 22:10:24

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 1001) [ClassicSimilarity], result of:
          0.062764086 = score(doc=1001,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 1001, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=1001)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Source

Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25