Google image search的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

Metadata後設資料：精準搜尋、一找就中，數據就是資產!教你活用｢描述資料的資料」，加強資訊的連結和透通

為了解決Google image search的問題，作者傑福瑞．彭蒙藍茲（JeffreyPomerantz） 這樣論述：

了解後設資料（metadata），是資訊科學的必修課。 一本書，幫助我們掌握資料的流通和運用！   Metadata是「描述資料的資料」，有許多中文譯名，包括後設資料、詮釋資料、元資料、元數據等等，本書譯為「後設資料」。   後設資料就是用來詮釋資料屬性的資訊，有助於標出資訊儲存的位置、文件紀錄、尋找資源、相關評價和過濾資訊。   以手寫信為例，信封上的寄件人和收件人地址、姓名屬於後設資料，但書信內容並不是。以手機通聯紀錄為例，發話人和受話人的手機號碼、通話日期、通話地點和通話時間是後設資料，但交談內容並不是。   在網路尚未普及之前，圖書館的卡片目錄就是後設資料，每一張卡片必定有這本書專

屬的「索書號」，前往圖書館找書的人們就能迅速找到藏書。   隨著網路普及，後設資料已經成為資訊科學的基礎，並且能夠滿足管理和搜尋的需求：電子檔案逐漸取代紙本資料，必須善加管理；為了因應網路上龐大的搜尋，必須讓人迅速找到結果。   如果沒有後設資料，所有資訊都必須倚賴人力查找，將導致成本增加。近年來，後設資料的格式也愈來愈多，人們熟悉的大數據（big data），也是源自於後設資料。   本書作者傑福瑞．彭蒙藍茲是資訊科學家，曾任威斯康辛大學麥迪遜校區圖書館與資訊研究學院兼任教授、北卡羅來納大學教堂山分校資訊圖書學院助理教授、華盛頓大學資訊學院客座教授。他的線上課程「後設資料：組織和探索資訊」（

Metadata: Organizing and Discovering Information）課程，深獲業界人士和學生喜愛。   作者提醒我們，後設資料已經不只是在圖書館用來描述和管理藏書的書卡，也可以用於描述和管理網路資源、應用程式介面、描述影音格式，甚至是藝術品和科學資料集，後設資料將會持續演進。   閱讀本書，有助於我們： 1.了解後設資料，加速資料的流通傳播和長期保存 2.為資料建立系統、提升資訊科學素養 3.活用後設資料，強化資料的應用（組織、識別、管理、保存、搜尋、發現和獲取）   一本書，幫助我們了解資料的保存和流通、建立完整的管理系統，進而精準活用數據！

Google image search進入發燒排行的影片

社群媒體運作對廣告行銷成效之研究

為了解決Google image search的問題，作者李肇軒 這樣論述：

資通訊科技的進步、智慧型手機的普遍、社群平台的蓬勃發展，越來越多廣告主透過社群媒體來進行廣告投放以達其行銷目的，而行銷目的不外乎擴大企業影響力、提升品牌認同感與知名度、增加商品銷售流暢度與實質業績。故本研究針對社群媒體運作對廣告行銷成效做探討，期望能找出相關脈絡資訊，以供各品牌行銷操作參考。本研究針對相關產業之專家學者的觀點與經歷，來研究與了解社群媒體運作與廣告行銷成效之間的關聯性。並透過文獻蒐集與深度訪談的方式，整合出相關脈絡資訊，以供各品牌行銷操作參考。經本研究發現，社群媒體相較於傳統媒體具有較大的優勢，社群媒體平台透過粉絲專業、社團等方式將受眾分類，容易鎖定目標客群，故能有效提升管理效

率，再透過即時且頻繁的互動，不但能快速傳播訊息，建立品牌形象，更有利於銷售。

Congress on Intelligent Systems: Proceedings of Cis 2020, Volume 2

為了解決Google image search的問題，作者 這樣論述：

Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engineering

from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is the secretary and one of the founder members of Soft Computing Researc

h Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of ＂International Journal of Swarm Intelligence (IJSI)＂ published by Inderscience. He has also edited special issues of the many reputed journals like ＂Memetic Computing＂, ＂Journ

al of Experimental and Theoretical Artificial Intelligence＂, and ＂Evolutionary Intelligence＂. His primary area of interest is nature-inspired optimization techniques. He has contributed to more than 65 papers published in various international journals and conferences. Dr. Mukesh Saraswat is Associa

te Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat has obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 18 years of teaching and research experience. He has guided 02 Ph.D. students, more than 50 M.Tech. and B.Te

ch. dissertations, and presently guiding 05 Ph.D. students. He has published more than 40 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was the part of successfully completed DRDE funded project on image analysis and currently

running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), Under TEQIP III (RTU-ATU) on Smile. He has been an active member of many organizing committees of various conferences and workshops. He was also Guest Editor of the Journ

al of Swarm Intelligence. He is an active member of IEEE, ACM, and CSI Professional Bodies. His research areas include image processing, pattern recognition, mining, and soft computing.Dr. Anupam Yadav is Assistant Professor, Department of Mathematics, Dr. BR Ambedkar National Institute of Technolog

y Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence; he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from Indian Institute of Technology Roorke

e, and he worked as Research Professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a textbook entitled ＂An introduction to neu

ral network methods for differential equations＂. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was General Chair, Convener, and a member of steering committee of several international conferences. He is Associate Editor in the journal of the experimental and theor

etical artificial intelligence. Dr. Yadav is a member of various research societies.Professor Kim, Dean of Engineering College of Korea University, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title ＂Optimal replacement/rehabilitation model for water distr

ibution systems＂. Prof. Kim’s major areas of interest include optimal design and management of water distribution systems, application of optimization techniques to various engineering problems, and development and application of evolutionary algorithms. His paper which introduced the Harmony Search

algorithm has been cited for more than 5,000 times according to Google Scholar. He has been the faculty of School of Civil, Environmental and Architectural Engineering at Korea University since 1993. He has hosted international conferences including APHW 2013, ICHSA 2014 & 2015, and HIC 2016 and ha

s given keynote speeches at many international conferences including 2013, GCIS 2013, SocPros 2014 & 2015, SWGIC 2017, and RTORS 2017. He is a member of National Academy of Engineering of Korea since 2017.Dr. Jagdish Chand Bansal is Associate Professor at South Asian University New Delhi and Visitin

g Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has worked as Assistant Professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. He is

Series Editor of the book series Algorithms for Intelligent Systems (AIS) published by Springer. He is Editor-in-Chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also Associate Editor of IEEE ACCESSS published by IEEE. He is the steering committee member

and General Chair of the annual conference series SocProS. He is the general secretary of Soft Computing Research Society (SCRS). His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization

algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from engineering domain. He has published more than 70 research papers in various international journals/conferences. He has supervised Ph.D. theses from ABV-IIITM Gwalior and SAU New Delhi. He has also received

Gold Medal at UG and PG levels.

新媒體宣傳對品牌形象提升之個案研究

為了解決Google image search的問題，作者樊仲諭 這樣論述：

隨著網際網路及資通訊技術的進步，為傳播帶來了近乎全新的變革。傳播平台和傳播途徑得以以更多元的形式及載具接收，打破了傳統媒體的限制。同時，整合行銷傳播模式的運用，使得傳播者與閱聽者之間的關係，產生了前所未有的變化。有別於傳統媒體，新媒體開創了獨特的受眾組成和訊息傳播模式，更進一步提升了準確性、使用者體驗及互動性。在這多變的情況下，企業或品牌必須重新構建一種符合新媒體特性的品牌傳播策略，以便於更貼近閱聽者的心理需求，促使閱聽者化被動為主動分享及傳播品牌訊息。本研究有鑑於上述狀況，以本土品牌「A品牌電腦」的新媒體傳播策略為個研究對象，採用個案研究法、次級資料分析法及針對相關媒體平台之操作數據進行分

析，研究該品牌在新媒體發展蓬勃的現今時代，如何以整合式行銷手法操作跨界行銷之宣傳行為，最後歸納出「A品牌電腦」在社群優化改善建議，作為日後品牌新媒體經營策略之參考。