Knowledge Recommendation Systems with Machine Intelligence Algorithms: People and Innovations

Protasiewicz, Jaroslaw

Knowledge Recommendation Systems with Machine Intelligence Algorithms: People and Innovations
  • 出版商: Springer
  • 出版日期: 2024-10-03
  • 售價: $6,030
  • 貴賓價: 9.5 折 $5,729
  • 語言: 英文
  • 頁數: 128
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031326989
  • ISBN-13: 9783031326981
  • 相關分類: 推薦系統、Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

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商品描述

Knowledge recommendation is an timely subject that is encountered frequently in research and information services. A compelling and urgent need exists for such systems: the modern economy is in dire need of highly-skilled professionals, researchers, and innovators, who create opportunities to gain competitive advantage and assist in the management of financial resources and available goods, as well as conducting fundamental and applied research more effectively.

This book takes readers on a journey into the world of knowledge recommendation, and of systems of knowledge recommendation that use machine intelligence algorithms. It illustrates knowledge recommendation using two examples. The first is the recommendation of reviewers and experts who can evaluate manuscripts of academic articles, or of research and development project proposals. The second is innovation support, which involves bringing science and business together by recommending information that pertains to innovations, projects, prospective partners, experts, and conferences meaningfully.

The book also describes the selection of the algorithms that transform data into information and then into knowledge, which is then used in the information systems. More specifically, recommendation and information extraction algorithms are used to acquire data, classify publications, identify (disambiguate) their authors, extract keywords, evaluate whether enterprises are innovative, and recommend knowledge.

This book comprises original work and is unique in many ways. The systems and algorithms it presents are informed by contemporary solutions described in the literature - including many compelling, novel, and original aspects. The new and promising directions the book presents, as well as the techniques of machine learning applied to knowledge recommendation, are all original.

商品描述(中文翻譯)

知識推薦是一個在研究和資訊服務中經常遇到的及時主題。對於這類系統存在著迫切而強烈的需求：現代經濟急需高技能的專業人士、研究者和創新者，他們能夠創造機會以獲得競爭優勢，並協助管理財務資源和可用商品，同時更有效地進行基礎和應用研究。

本書帶領讀者進入知識推薦的世界，以及使用機器智能算法的知識推薦系統。它通過兩個例子來說明知識推薦。第一個是推薦能夠評估學術文章手稿或研究與開發項目提案的審稿人和專家。第二個是創新支持，這涉及通過有意義地推薦與創新、項目、潛在合作夥伴、專家和會議相關的信息，將科學與商業結合起來。

本書還描述了將數據轉換為信息，然後再轉換為知識的算法選擇，這些知識隨後用於資訊系統中。更具體地說，推薦和信息提取算法用於獲取數據、分類出版物、識別（消歧義）其作者、提取關鍵詞、評估企業是否具創新性，以及推薦知識。

本書包含原創作品，在許多方面都是獨特的。它所呈現的系統和算法受到文獻中描述的當代解決方案的啟發，包括許多引人注目、新穎和原創的方面。本書所提出的新方向和有前景的技術，以及應用於知識推薦的機器學習技術，都是原創的。

作者簡介

The education and career of Jaroslaw Protasiewicz as an experienced researcher, lecturer, and IT professional are connected deeply with computer science and artificial intelligence.

Jaroslaw acquired his master's degree at the Bialystok Technical University, Poland, by presenting his thesis, The detection of changes in the parameters of a mathematical model of a physical object using neural networks. He later defended his doctoral dissertation, The use of neural networks for the analysis of the power market in Poland, at the Systems Research Institute of the Polish Academy of Sciences. Both theses concerned artificial neural networks.

Jaroslaw's research interests include software design and development, artificial intelligence, and machine learning. His scientific career has long been interwoven with the IT industry. He has extensive IT experience as a software developer, designer, and project manager.

Since 2005, Jaroslaw has been employed by the National Information Processing Institute (OPI PIB) in Warsaw, Poland, where he initially served as a software developer and designer. Then, as an associate professor, he established and managed the Laboratory of Intelligent Information Systems--the largest laboratory of the institute. Currently, he serves as the head of OPI PIB.

Jaroslaw is also an experienced academic teacher who is responsible for lectures, laboratory classes, and supervision of students' final projects in software development and machine learning at the Warsaw School of Information Technology, Poland.

作者簡介(中文翻譯)

雅羅斯瓦夫·普羅塔謝維奇（Jaroslaw Protasiewicz）的教育背景和職業生涯作為一位經驗豐富的研究者、講師和IT專業人士，與計算機科學和人工智慧有著深厚的聯繫。

雅羅斯瓦夫在波蘭比亞維斯托克科技大學獲得碩士學位，並以論文《利用神經網絡檢測物理對象數學模型參數的變化》進行報告。之後，他在波蘭科學院系統研究所捍衛了他的博士論文《神經網絡在波蘭電力市場分析中的應用》。這兩篇論文均涉及人工神經網絡。

雅羅斯瓦夫的研究興趣包括軟體設計與開發、人工智慧和機器學習。他的科學事業長期與IT產業交織在一起，擁有作為軟體開發者、設計師和專案經理的豐富IT經驗。

自2005年以來，雅羅斯瓦夫在波蘭華沙的國家資訊處理研究所（OPI PIB）工作，最初擔任軟體開發者和設計師。隨後，作為副教授，他建立並管理了智能資訊系統實驗室，該實驗室是該研究所最大的實驗室。目前，他擔任OPI PIB的負責人。

雅羅斯瓦夫也是一位經驗豐富的學術教師，負責波蘭華沙資訊科技學校的講座、實驗課以及學生在軟體開發和機器學習方面的最終專案指導。

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