Resource Selection for Federated Search on The
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Market Research SD-5 Gathering Information About Commercial Products and Services
Market Research SD-5 Gathering Information About Commercial Products and Services DEFENSE STANDARDIZATION PROGRA M JANUARY 2008 Contents Foreword 1 The Market Research Other Considerations 32 Background 2 Process 13 Amount of Information Strategic Market Research to Gather 32 What Is Market Research? 2 (Market Surveillance) 14 Procurement Integrity Act 32 Why Do Market Research? 2 Identify the Market or Market Paperwork Reduction Act 33 Segment of Interest 14 When Is Market Research Cost of Market Research 34 Done? 5 Identify Sources of Market Information 16 Who Should Be Involved In Market Research? 7 Collect Relevant Market Other Information Information 17 Technical Specialist 8 Document the Results 18 on Market Research 35 User 9 Logistics Specialist 9 Tactical Market Research Appendix A 36 (Market Investigation) 19 Testing Specialist 9 Types of Information Summarize Strategic Market Available on the Internet Cost Analyst 10 Research 19 Legal Counsel 10 Formulate Requirements 20 Appendix B 39 Contracting Officer 10 Web-Based Information Identify Sources of Sources Information 21 Guiding Principles 11 Collect Product or Service Appendix C 47 Examples of Tactical Start Early 11 Information from Sources 22 Collect Information from Information Define and Document Product or Service Users 26 Requirements 11 Evaluate the Data 27 Refine as You Proceed 12 Document the Results 30 Tailor the Investigation 12 Repeat as Necessary 12 Communicate 12 Involve Users 12 Foreword The Department of Defense (DoD) relies extensively on the commercial market for the products and services it needs, whether those products and services are purely commercial, modified for DoD use from commercial products and services, or designed specifically for DoD. -
Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2020 Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library SUNDAY JUDE ONUH National Open University of Nigeria, [email protected] OGOEGBUNAM LOVETH EKWUEME National Open University of Nigeria, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons ONUH, SUNDAY JUDE and EKWUEME, OGOEGBUNAM LOVETH, "Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library" (2020). Library Philosophy and Practice (e-journal). 4650. https://digitalcommons.unl.edu/libphilprac/4650 Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library By Jude Sunday Onuh Enugu Study Centre Library National Open University of Nigeria [email protected] & Loveth Ogoegbunam Ekwueme Department of Library and Information Science National Open University of Nigeria [email protected] Abstract This study dwelt on awareness and utilization of search engines for information retrieval by students of National Open University of Nigeria (NOUN) Enugu Study centre. Descriptive survey research was adopted for the study. Two research questions were drawn from the two purposes that guided the study. The population consists of 5855 undergraduate students of NOUN Enugu Study Centre. A sample size of 293 students was used as 5% of the entire population. -
Gender and Information Literacy: Evaluation of Gender Differences in a Student Survey of Information Sources
Gender and Information Literacy: Evaluation of Gender Differences in a Student Survey of Information Sources Arthur Taylor and Heather A. Dalal Information literacy studies have shown that college students use a va- riety of information sources to perform research and commonly choose Internet sources over traditional library sources. Studies have also shown that students do not appear to understand the information quality issues concerning Internet information sources and may lack the information literacy skills to make good choices concerning the use of these sources. No studies currently provide clear guidance on how gender might influ- ence the information literacy skills of students. Such guidance could help improve information literacy instruction. This study used a survey of college-aged students to evaluate a subset of student information literacy skills in relation to Internet information sources. Analysis of the data collected provided strong indications of gender differences in information literacy skills. Female respondents ap- peared to be more discerning than males in evaluating Internet sources. Males appeared to be more confident in the credibility and accuracy of the results returned by search engines. Evaluation of other survey responses strengthened our finding of gender differentiation in informa- tion literacy skills. ollege students today have come of age surrounded by a sea of information delivered from an array of sources available at their fingertips at any time of the day or night. Studies have shown that the most common source of information for college-aged students is the Internet. Information gathered in this environment is most likely found using a commercial search engine that returns sources of dubious quality using an unknown algorithm. -
Web Search Tutoring for the Local Community
Web search for local communities in the Highlands of Scotland: A self-tutoring guide MODULE III Alternatives to Google: some other search tools worth a try © Copyright Hans Zell Publishing Consultants 2011 Glais Bheinn, Lochcarron, Ross-shire IV54 8YB, Scotland, UK Email: [email protected] Web: www.hanszell.co.uk Web search for local communities in the Highlands of Scotland: A self-tutoring guide MODULE I How to get the most out of Google Web search MODULE II A concise guide to Google products, services, applications, and other offerings MODULE III Alternatives to Google: some other search tools worth a try MODULE IV The best of the Web: a guide to some of the most information-rich resources on the Internet 2 Introduction Google is a marvellous Web search tool and is as good as they get at present, but it is certainly not the only one. Other top search engines include Ask.com (aka as Ask Jeeves), Bing (formerly called MSN Search), and Yahoo! (and see General purpose, product, and visual search engines below). According to data published by Experian Hitwise http://www.hitwise.com/us/datacenter/main/dashboard-23984.html in June 2011, Google still heavily dominates the market with a share of about 68%, while the market share of Yahoo and Microsoft’s Bing currently is something just under 14% for both; Ask.com is in fourth place with around 2.6%, and AOL Search in fifth place with about 1.4%. The picture is roughly the same if ranked by number of visits, although Bing does better than Yahoo in this category. -
Final Study Report on CEF Automated Translation Value Proposition in the Context of the European LT Market/Ecosystem
Final study report on CEF Automated Translation value proposition in the context of the European LT market/ecosystem FINAL REPORT A study prepared for the European Commission DG Communications Networks, Content & Technology by: Digital Single Market CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report This study was carried out for the European Commission by Luc MEERTENS 2 Khalid CHOUKRI Stefania AGUZZI Andrejs VASILJEVS Internal identification Contract number: 2017/S 108-216374 SMART number: 2016/0103 DISCLAIMER By the European Commission, Directorate-General of Communications Networks, Content & Technology. The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the Commission. The Commission does not guarantee the accuracy of the data included in this study. Neither the Commission nor any person acting on the Commission’s behalf may be held responsible for the use which may be made of the information contained therein. ISBN 978-92-76-00783-8 doi: 10.2759/142151 © European Union, 2019. All rights reserved. Certain parts are licensed under conditions to the EU. Reproduction is authorised provided the source is acknowledged. 2 CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report CONTENTS Table of figures ................................................................................................................................................ 7 List of tables .................................................................................................................................................. -
Information Rereival, Part 1
11/4/2019 Information Retrieval Deepak Kumar Information Retrieval Searching within a document collection for a particular needed information. 1 11/4/2019 Query Search Engines… Altavista Entireweb Leapfish Spezify Ask Excite Lycos Stinky Teddy Baidu Faroo Maktoob Stumpdedia Bing Info.com Miner.hu Swisscows Blekko Fireball Monster Crawler Teoma ChaCha Gigablast Naver Walla Dogpile Google Omgili WebCrawler Daum Go Rediff Yahoo! Dmoz Goo Scrub The Web Yandex Du Hakia Seznam Yippy Egerin HotBot Sogou Youdao ckDuckGo Soso 2 11/4/2019 Search Engine Marketshare 2019 3 11/4/2019 Search Engine Marketshare 2017 Matching & Ranking matched pages ranked pages 1. 2. query 3. muddy waters matching ranking “hits” 4 11/4/2019 Index Inverted Index • A mapping from content (words) to location. • Example: the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat 5 11/4/2019 Inverted Index the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat 1 3 dog 2 3 mat 1 2 on 1 2 sat 1 3 stood 2 3 the 1 2 3 while 3 Inverted Index the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat 1 3 dog 2 3 mat 1 2 Every word in every on 1 2 web page is indexed! sat 1 3 stood 2 3 the 1 2 3 while 3 6 11/4/2019 Searching the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat 1 3 query dog 2 3 mat 1 2 cat on 1 2 sat 1 3 stood 2 3 the 1 2 3 while 3 Searching the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat -
Cyber Intelligence Gathering – Cheat Sheet
Cyber Intelligence Gathering – Cheat Sheet Social Media Websites www.youtube.com www.twitter.com www.facebook.com www.linkedin.com www.flickr.com www.myspace.com http://plus.google.com https://www.pinterest.com Social Media Monitoring http://socialmention.com/ http://topsy.com/ http://www.twazzup.com http://www.icerocket.com People & Company Search http://checkusernames.com/ http://www.123people.com https://pipl.com http://www.pcworld.com/article/219593/how_to_do_an_online_background_check_for_free.html www.Pandia.com www.virtualchase.com www.people-search-engines.com www.peoplesearch.net www.virtualgumshoe.com www.searchsystems.net www.person.langenberg.com www.publicrecordfinder.com www.powerreporting.com www.nettrace.com www.deadlineonline.com www.peoplesearchlinks.com http://www.peekyou.com http://com.lullar.com www.infospace.com http://www.sec.gov/edgar/searchedgar/webusers.htm#.VRMr4Fy28b4 http://www.zoominfo.com Cyber 51 LLC 267 Kentlands Blvd. #800, Gaithersburg, Maryland, 20878, USA - Email: [email protected] CYBER 51 LLC PROVIDES THIS DOCUMENT FOR EDUCATIONAL PURPOSES ONLY. CYBER 51 IS NOT RESPONSIBLE FOR ANY LINKED PAGES FROM THIS DOCUMENT OR ANY WRONG DOING. Historical Websites and Archives Search www.screenshots.com www.archive.org Google Search: cache:www.website.com Network Detail Search http://www.mcit.com.hk/nqt.php http://www.yougetsignal.com Pictures Search Google Image Search Exif tool www.photobucket.com Email Search Email Search in speech marks Email Header Analysis Main Search Engines Google Yahoo Bing Gigablast Ask Baidu Google Search Google Image Search Google Trends Google Maps Google Earth Google Video Search Google Search (Advanced) Email search in speech marks Google search in speech marks site:twitter.com "Name" site:www.facebook.com "Name" AND "Location" intitle:”index of” “parent directory” john doe Cyber 51 LLC 267 Kentlands Blvd. -
List of Search Engines Listed by Types of Searches
List of Search Engines Listed by Types of Searches - © 09-14-2014 - images removed Copyright - Professional Web Services Internet Marketing SEO Business Solutions - http://pwebs.net - All Rights Reserved List of Search Engines Listed by Types of Searches by ProWebs - Article last updated on: Saturday, July 28, 2012 http://pwebs.net/2011/04/search-engines-list/ To view images click link above. This page posting has been updated with the addition of some of the newer search engines. The original search engine page was dealing mainly with B2B and B2C search. However, with today's broad based Internet activity, and how it relates to various aspects of business usage, personal searches, and even internal intranet enterprise searches, we wanted to highlight some of the different search market segments. This list of the various search engines, is posted here mainly for research and education purposes. We felt it is nice to be able to reference and have links to some of the different search engines all in one place. While the list below does not cover each and every search engine online, it does provide a broad list of most of the major search companies that are available. Also note that some of the search engine links have been redirected to other sites due to search buyouts, mergers, and acquisitions with other companies, along with changes with the search engines themselves (for example: search companies have changed brand names, different URLs, and links). You will also notice that some of the search websites go back a number of years. If you would like to read more about the details of any particular search engine, take a look at the Wikipedia Search Engines List article, and follow the links to each specific search engine for a descriptive overview. -
Appendix I: Search Quality and Economies of Scale
Appendix I: search quality and economies of scale Introduction 1. This appendix presents some detailed evidence concerning how general search engines compete on quality. It also examines network effects, scale economies and other barriers to search engines competing effectively on quality and other dimensions of competition. 2. This appendix draws on academic literature, submissions and internal documents from market participants. Comparing quality across search engines 3. As set out in Chapter 3, the main way that search engines compete for consumers is through various dimensions of quality, including relevance of results, privacy and trust, and social purpose or rewards.1 Of these dimensions, the relevance of search results is generally considered to be the most important. 4. In this section, we present consumer research and other evidence regarding how search engines compare on the quality and relevance of search results. Evidence on quality from consumer research 5. We reviewed a range of consumer research produced or commissioned by Google or Bing, to understand how consumers perceive the quality of these and other search engines. The following evidence concerns consumers’ overall quality judgements and preferences for particular search engines: 6. Google submitted the results of its Information Satisfaction tests. Google’s Information Satisfaction tests are quality comparisons that it carries out in the normal course of its business. In these tests, human raters score unbranded search results from mobile devices for a random set of queries from Google’s search logs. • Google submitted the results of 98 tests from the US between 2017 and 2020. Google outscored Bing in each test; the gap stood at 8.1 percentage points in the most recent test and 7.3 percentage points on average over the period. -
Measuring Personalization of Web Search
1 Measuring Personalization of Web Search ANIKÓ HANNÁK, Northeastern University PIOTR SAPIEŻYŃSKI, Technical University of Denmark ARASH MOLAVI KAKHKI, Northeastern University DAVID LAZER, ALAN MISLOVE, and CHRISTO WILSON, Northeastern University Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where dierent users receive dierent results for the same search query. The increasing level of personalization is leading to concerns about Filter Bubble eects, where certain users are simply unable to access information that the search engines’ algorithm decides is irrelevant. Despite these concerns, there has been little quantication of the extent of personalization in Web search today, or the user attributes that cause it. In light of this situation, we make three contributions. First, we develop a methodology for measuring personalization in Web search results. While conceptually simple, there are numerous details that our methodology must handle in order to accurately attribute dierences in search results to personalization. Second, we apply our methodology to 200 users on Google Web Search and 100 users on Bing. We nd that, on average, 11.7% of results show dierences due to personalization on Google, while 15.8% of results are personalized on Bing, but that this varies widely by search query and by result ranking. Third, we investigate the user features used to personalize on Google Web Search and Bing. Surprisingly, we only nd measurable personalization as a result of searching with a logged in account and the IP address of the searching user. Our results are a rst step towards understanding the extent and eects of personalization on Web search engines today. -
Exploratory Search on Mobile Devices
schmeier_cover_1401_Layout 1 03.02.2014 07:10 Seite 1 Saarbrücken Dissertations | Volume 38 | in Language Science and Technology Exploratory Search on Mobile Devices Sven Schmeier The goal of this thesis is to provide a general framework (MobEx) for exploratory search especially on mobile devices. The central part is the design, implementation, and evaluation of several core modules s for on-demand unsupervised information extraction well suited for e c i exploratory search on mobile devices and creating the MobEx frame - v work. These core processing elements, combined with a multitouch - e D able user interface specially designed for two families of mobile e l i devices, i.e. smartphones and tablets, have been finally implemented b in a research prototype. The initial information request, in form of a o M query topic description, is issued online by a user to the system. The n o system then retrieves web snippets by using standard search engines. h These snippets are passed through a chain of NLP components which c r perform an on-demand or ad-hoc interactive Query Disambiguation, a e Named Entity Recognition, and Relation Extraction task. By on- S demand or ad-hoc we mean the components are capable to perform y r o their operations on an unrestricted open domain within special time t a constrain ts. The result of the whole process is a topic graph containing r o the detected associated topics as nodes and the extracted relation ships l p as labelled edges between the nodes. The Topic Graph is presented to x E the user in different ways depending on the size of the device she is using. -
Search Engines: Search Engines Are Tools Which You Can Use to Find Websites Which Have the Information You Are Looking For
About Search Engines: Search engines are tools which you can use to find websites which have the information you are looking for. The key to easily finding information with search engines is using the right search terms. Search engines like Google and Yahoo search enormous web indexes of internet sites and return lists of websites which are relevant to your search. There are many types of search engines and meta-search engines. Meta-search engines send your search to several other search engines and return results together from each. You can almost always get to a search engine on the Internet by going to www. Name of the Search Engine.com For example: www.yahoo.com will get you to the Yahoo search engine. See the search engine section in this handout for different search engines. Basic Search Engine strategies: 1. Decide if you should use a search engine. You might just want to browse by exploring resources with a directory or index, like the Yahoo directory or the Librarian’s Index to the Internet. 2. Don’t enter words that are too general or too specific. For example you remember a great chicken lasagna your friend made and you want to make it too. Your search would be: NOT: Italian food BUT: chicken lasagna recipe mushrooms spinach 3. Eliminate unnecessary words and prepositions. Words like it, but, on, a, among, around, at, might be unnecessary unless they are part of a proper name. For example: NOT: I am looking for a place to stay in Ashland BUT: Hotels Bed Breakfasts Ashland Oregon 4.