Social Media in Your Search Strategy
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Metadata for Semantic and Social Applications
etadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008M will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Metadata for Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their Semantic and information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. Social Applications DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice. Edited by Jane Greenberg and Wolfgang Klas DC-2008 -
Google Adwords – Szkolenia Certyfikowane Szkolenia Sem
MAGAZYN MARKETINGU W WYSZUKIWARKACH www.semspecialist.pl • Numer 8/9 • lipiec-sierpień 2011 • ISSN 2082-3894 #8/9 GOOGLE PANDA UPDATE BIZNES LOKALNY MIEJSCA GOOGLE WYDAWCA Paulina Gawlińska Duarte Leszek Wolany e-mail: [email protected] ul. Studzienna 18/25 tel. 601 244 074 15-771 Białystok NIP: 966-174-99-46 GRAFIKA I SKŁAD Joanna Kołacz-Śmieja ADRES DO KORESPONDENCJI e-mail: [email protected] SEM Specialist ul. Zawiszy 16A/91 01-167 Warszawa PISZCIE DO NAS [email protected] Czekamy na Wasze komentarze i uwagi. REDAKTOR NACZELNY Jeśli chcesz publikować na łamach SEM Specialist Leszek Wolany – napisz z propozycją tematu. Redakcja nie zwraca nie zamówionych materiałów oraz zastrzega so- AUTORZY NUMERU bie prawo do skrótów i redakcyjnego opracowania tekstów przyjętych Mateusz Dałek, Adam Jankowiak, Marcin Kowalik, do publikacji. Paulina Niżankowska, Sebastian Suma, Michał Zawadzak. REKLAMA Za treść reklam i ogłoszeń redakcja nie odpowiada. © SEM Specialist 2010 Magazyn dystrybuowany jest dzieki Wszystkie prawa zastrzeżone. 2 SEM Specialist nr 8/9 lipiec-sierpień 2011 SPIS TREŚCI WYDARZENIA WARTO PRZECZYTAĆ FELIETON 8 KUP PAN BILET Marcin Kowalik 13 MIEJSCE GOOGLE A POZYCJONOWANIE STRONY Sebastian Suma 18 DOWIEDZ SIĘ, ILE +1 DOSTAŁA TWOJA WITRYNA Adam Jankowiak PPC 20 DEAL MIESIĄCA CZYLI GRUPOWE KAMPANIE LINKÓW SPONSOROWANYCH I ICH EFEKTY Paulina Niżankowska SEO 24 GOOGLE PANDA UPDATE Michał Zawadzak ANALITYKA 28 ŚCIEŻKI WIELOKANAŁOWE – OMÓWIENIE NOWEGO ZESTAWU RAPORTÓW DOSTĘPNEGO W RAMACH GOOGLE ANALYTICS Mateusz Dałek INFORMACJA PRASOWA 34 E-NNOVATION ODSŁANIA KARTY I PUBLIKUJE PROGRAM www.semspecialist.pl 3 ANI CHWILI SPOKOJU Wakacje dla większości z nas są leniwe, spokojne. Odpoczywamy, sta- ramy się trochę mniej myśleć o pracy. -
Understanding the Value of Arts & Culture | the AHRC Cultural Value
Understanding the value of arts & culture The AHRC Cultural Value Project Geoffrey Crossick & Patrycja Kaszynska 2 Understanding the value of arts & culture The AHRC Cultural Value Project Geoffrey Crossick & Patrycja Kaszynska THE AHRC CULTURAL VALUE PROJECT CONTENTS Foreword 3 4. The engaged citizen: civic agency 58 & civic engagement Executive summary 6 Preconditions for political engagement 59 Civic space and civic engagement: three case studies 61 Part 1 Introduction Creative challenge: cultural industries, digging 63 and climate change 1. Rethinking the terms of the cultural 12 Culture, conflict and post-conflict: 66 value debate a double-edged sword? The Cultural Value Project 12 Culture and art: a brief intellectual history 14 5. Communities, Regeneration and Space 71 Cultural policy and the many lives of cultural value 16 Place, identity and public art 71 Beyond dichotomies: the view from 19 Urban regeneration 74 Cultural Value Project awards Creative places, creative quarters 77 Prioritising experience and methodological diversity 21 Community arts 81 Coda: arts, culture and rural communities 83 2. Cross-cutting themes 25 Modes of cultural engagement 25 6. Economy: impact, innovation and ecology 86 Arts and culture in an unequal society 29 The economic benefits of what? 87 Digital transformations 34 Ways of counting 89 Wellbeing and capabilities 37 Agglomeration and attractiveness 91 The innovation economy 92 Part 2 Components of Cultural Value Ecologies of culture 95 3. The reflective individual 42 7. Health, ageing and wellbeing 100 Cultural engagement and the self 43 Therapeutic, clinical and environmental 101 Case study: arts, culture and the criminal 47 interventions justice system Community-based arts and health 104 Cultural engagement and the other 49 Longer-term health benefits and subjective 106 Case study: professional and informal carers 51 wellbeing Culture and international influence 54 Ageing and dementia 108 Two cultures? 110 8. -
Six-Steps for Search Engine Marketing Learning
SIX-STEPS FOR SEARCH ENGINE MARKETING LEARNING Kai-Yu Wang, Brock University AXCESSCAPON TEACHING INNOVATION COMPETIION TEACHING NOTES Google AdWords is considered to be the most important digital marketing channel, causing firms to consistently increase their budget in this area (Hanapin Marketing, 2016). Paid search advertising expenditures in the US are predicted to reach $45.81 billion by 2018, making up 42.7% of the total expected digital advertising expenditures in the country (eMarketer, 2018). One of the key challenges in teaching digital marketing is determining how to help students learn digital marketing strategies with actionable tactics that they can directly apply to the real digital business world. Thus, a six-step process was proposed and used in my internet and social media class to address this pedagogical problem. Students learned search engine marketing (SEM) through in-class assignments and a SEM campaign for a local organization. 1. Local Businesses (i.e., community partners): Before the semester began, a call for service-learning project participation was sent to a pool of local community partners. Among the 24 interested community partners, nine from various industries (e.g., wine, construction, auto repairs) were selected to work with my internet and social media marketing class. In week two of the semester, nine teams (five students per team) were formed and randomly assigned one local business to work with on the project. Each team was required to schedule a meeting with its community partner in the following week. The purpose of this meeting was to understand the partner’s products/services, current marketing strategies, and digital marketing problems. -
On-Page SEO Strategy Guide How to Optimise and Improve Your Content’S Ranking Table of Contents
On-Page SEO Strategy Guide How To Optimise And Improve Your Content’s Ranking Table of Contents 01 / Introduction ............................................................................................................ 3 02 / History of SEO ........................................................................................................ 4 03 / How To Get Started With On-Page SEO .............................................................. 7 04 / Topic Clusters Site Architecture ............................................................................ 15 05 / Analyse Results ....................................................................................................... 22 06 / Conclusion .............................................................................................................. 23 ON-PAGE SEO STRATEGY GUIDE 2 01 / Introduction The last few years have been especially exciting in the SEO industry with a series of algorithm updates and search engine optimisation developments escalating in increased pace. Keeping up with all of these changes can be difficult, but proving return on investment can be even harder. The world of SEO is changing. This ebook provides you with a brief history of the SEO landscape, introduces strategies for on- and off-page SEO, and shares reporting tactics that will allow you to track your efforts and identify their return. ON-PAGE SEO STRATEGY GUIDE 3 02 / History of SEO Search engines are constantly improving the search experience and therefore SEO is in a nonstop transformation. -
TRANSFORMING the SOCIO ECONOMY with DIGITAL INNOVATION This Page Intentionally Left Blank TRANSFORMING the SOCIO ECONOMY with DIGITAL INNOVATION
TRANSFORMING THE SOCIO ECONOMY WITH DIGITAL INNOVATION This page intentionally left blank TRANSFORMING THE SOCIO ECONOMY WITH DIGITAL INNOVATION CHIHIRO WATANABE Professor Emeritus, Tokyo Institute of Technology, Meguro, Tokyo, Japan Research Professor, University of Jyväskylä, Jyväskylä, Finland Guest Research Scholar, International Institute for Systems Analysis (IIASA), Laxenburg, Austria YUJI TOU Associate Professor, Tokyo Institute of Technology, Meguro, Tokyo, Japan PEKKA NEITTAANMÄKI Professor, University of Jyväskylä, Jyväskylä, Finland Elsevier Radarweg 29, PO Box 211, 1000 AE Amsterdam, Netherlands The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, United Kingdom 50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States Copyright © 2021 Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions. This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). Notices Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary. Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility. -
An Explorative Customer Experience Study on Voice Assistant Services of a Swiss Tourism Destination
Athens Journal of Tourism - Volume 7, Issue 4, December 2020 – Pages 191-208 Resistance to Customer-driven Business Model Innovations: An Explorative Customer Experience Study on Voice Assistant Services of a Swiss Tourism Destination By Anna Victoria Rozumowski*, Wolfgang Kotowski± & Michael Klaas‡ For tourism, voice search is a promising tool with a considerable impact on tourist experience. For example, voice search might not only simplify the booking process of flights and hotels but also change local search for tourist information. Against this backdrop, our pilot study analyzes the current state of voice search in a Swiss tourism destination so that providers can benefit from those new opportunities. We conducted interviews with nine experts in Swiss tourism marketing. They agree that voice search offers a significant opportunity as a new and diverse channel in tourism. Moreover, this technology provides new marketing measures and a more efficient use of resources. However, possible threats to this innovation are data protection regulation and providers’ lack of skills and financial resources. Furthermore, the diversity of Swiss dialects pushes voice search to its limits. Finally, our study confirms that tourism destinations should cooperate to implement voice search within their touristic regions. In conclusion, following our initial findings from the sample destination, voice search remains of minor importance for tourist marketing in Switzerland as evident in the given low use of resources. Following this initial investigation of voice search in a Swiss tourism destination, we recommended conducting further qualitative interviews on tourists’ voice search experience in different tourist destinations. Keywords: Business model innovation, resistance to innovation, customer experience, tourism marketing, voice search, Swiss destination marketing, destination management Introduction Since innovations like big data and machine learning have already caused lasting changes in the interaction between companies and consumers (Shankar et al. -
The Nao Robot As a Personal Assistant
1 Ziye Zhou THE NAO ROBOT AS A PERSONAL ASSISTANT Information Technology 2016 2 FOREWORD I would like to take this opportunity to express my gratitude to everyone who have helped me. Dr. Yang Liu is my supervisor in this thesis, without his help I could not come so far and get to know about Artificial Intelligence, I would not understand the gaps between me and other intelligent students in the world. Thanks for giving me a chance to go aboard and get to know more. Also I would like to say thank you to all the teachers and stuffs in VAMK. Thanks for your guidance. Thanks for your patient and unselfish dedication. Finally, thanks to my parents and all my friends. Love you all the time. 3 VAASAN AMMATTIKORKEAKOULU UNIVERSITY OF APPLIED SCIENCES Degree Program in Information Technology ABSTRACT Author Ziye Zhou Title The NAO Robot as a Personal Assistant Year 2016 Language English Pages 55 Name of Supervisor Yang Liu Voice recognition and Artificial Intelligence are popular research topics these days, with robots doing physical and complicated labour work instead of humans is the trend in the world in future. This thesis will combine voice recognition and web crawler, let NAO robot help humans check information (train tickets and weather) from websites by voice interaction with human beings as a voice assistance. The main research works are as follows: 1. Voice recognition, resolved by using Google speech recognition API. 2. Web crawler, resolved by using Selenium to simulate the operation of web pages. 3. The connection and use of NAO robot. -
Ignite Visibility Consulting
Ignite Visibility Consulting Copyright 2013 – Ignite Visibility Page 1 Introduction .................................................................................................................................................. 3 Your Page ...................................................................................................................................................... 3 Branded URL ............................................................................................................................................. 3 Background and Profile Picture ................................................................................................................ 3 Fill out all Text ........................................................................................................................................... 3 Videos............................................................................................................................................................ 4 Theme your Videos Around One Keyword ............................................................................................... 4 Add a Date, Describe a Location, Link to Social Sites and Links to YouTube Video .................................. 5 Get Video Embeds, +1s, Ratings, Views and Comments Gradually .......................................................... 5 Add Annotations to Videos ........................................................................................................................... 5 Make Videos -
Search Engine Marketing
■ Search Engine Marketing - SEM ■ Search Engine Optimization - SEO ■ Social Media Optimization - SMO ■ Pay per Click Campaign Management ■ Affiliate Marketing Solutions www.seosolutions.us Monday, July 20, 2009 ProfileProfile Of ofThe the CompanyCompany • Doug Dvorak, President and CEO • Doug Dvorak is the President and CEO of SEO Solutions Inc., a worldwide organization that assists clients with strategic internet marketing and search engine optimization (SEO), as well as other aspects of sales and marketing management. Mr. Dvorak's clients are characterized as Fortune 1000 companies, small to medium businesses, civic organizations and service businesses. Mr. Dvorak has earned an international reputation for his powerful internet marketing and search engine optimization methods, techniques and strategies. • Doug Dvorak, an internet entrepreneur, has been developing and growing successful online businesses for more than 12 years. He has extensive knowledge and experience in all online marketing matters, including search engine optimization, pay per click marketing, social media optimization, and affiliate marketing. He holds a Bachelor of Arts degree in Business Administration and a Master of Business Administration in Marketing Management. Doug is responsible for the development of partnerships and clients, as well as overseeing all search engine optimization projects. Together with his staff, located in Chicago, Illinois, it is Doug's responsibility to create cost-effective strategies that get web sites to the top of major search engines. www.seosolutions.us Monday, July 20, 2009 ClientClient Feedback Feedback "SEO Solutions has allowed us to get to the next level in terms of customer sales and client reach. We have experienced tremendous results with search engine optimization. -
Conversion Rate Prediction in Search Engine Marketing
Conversion Rate Prediction in Search Engine Marketing A thesis submitted to the Graduate School of Natural and Applied Sciences by Razieh Nabi-Abdolyousefi in partial fulfillment for the degree of Master of Science in Electrical and Computer Engineering Conversion Rate Prediction in Search Engine Marketing Razieh Nabi-Abdolyousefi Abstract Search engines hold online auctions among search advertisers who are bidding for the advertisement slots in the search engine results pages. Search engines employ a pay- per-click model in which advertisers are charged whenever their ads are clicked by users. If a user clicks on an ad and then takes a particular action, which the corresponding advertiser has defined as valuable to her business, such as an online purchase, or signing up for a newsletter, or a phone call, then the user's action is counted as a conversion. A naive estimate of the conversion rate (CR) of an ad is the average number of conversions per click. The average number of clicks and the average position of the ad also affect its conversion rate. However, all such ad statistics are heuristics at best. The challenge here is that there is no performance statistics accrued for the newly created ads. In order to get any kind of performance data, new ads have to be advertised first and precious marketing dollars have to be spent. If CR estimates are precise, then advertisers can manage their campaigns more effectively and can have a better return on their invest- ments. Alternatively, one can use the available data for the existing ads and engineer a set of features that best characterize conversions for an advertisement campaign in general. -
A Comparison of Information Seeking Using Search Engines and Social Networks
A Comparison of Information Seeking Using Search Engines and Social Networks Meredith Ringel Morris1, Jaime Teevan1, Katrina Panovich2 1Microsoft Research, Redmond, WA, USA, 2Massachusetts Institute of Technology, Cambridge, MA, USA {merrie, teevan}@microsoft.com, [email protected] Abstract et al. 2009 or Groupization by Morris et al. 2008). Social The Web has become an important information repository; search engines can also be devised using the output of so- often it is the first source a person turns to with an informa- cial tagging systems such as delicious (delicious.com). tion need. One common way to search the Web is with a Social search also encompasses active requests for help search engine. However, it is not always easy for people to from the searcher to other people. Evans and Chi (2008) find what they are looking for with keyword search, and at describe the stages of the search process when people tend times the desired information may not be readily available to interact with others. Morris et al. (2010) surveyed Face- online. An alternative, facilitated by the rise of social media, is to pose a question to one‟s online social network. In this book and Twitter users about situations in which they used paper, we explore the pros and cons of using a social net- a status message to ask questions of their social networks. working tool to fill an information need, as compared with a A well-studied type of social searching behavior is the search engine. We describe a study in which 12 participants posting of a question to a Q&A site (e.g., Harper et al.