Index of /Sites/Default/Al Direct/2009/May
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Statistics for Donauschwaben-Usa.Org (2009-03)
Statistics for donauschwaben-usa.org (2009-03) Statistics for: donauschwaben-usa.org Last Update: 03 Apr 2009 - 14:14 Reported period: Month Mar 2009 When: Monthly history Days of month Days of week Hours Who: Organizations Countries Full list Hosts Full list Last visit Unresolved IP Address Robots/Spiders visitors Full list Last visit Navigation: Visits duration File type Viewed Full list Entry Exit Operating Systems Versions Unknown Browsers Versions Unknown Referrers: Origin Referring search engines Referring sites Search Search Keyphrases Search Keywords Others: Miscellaneous HTTP Status codes Pages not found Summary Reported period Month Mar 2009 First visit 01 Mar 2009 - 00:17 Last visit 31 Mar 2009 - 23:17 Unique visitors Number of visits Pages Hits Bandwidth 2112 2781 15381 71620 4.59 GB Viewed traffic * (1.31 visits/visitor) (5.53 Pages/Visit) (25.75 Hits/Visit) (1732.12 KB/Visit) Not viewed traffic * 8539 10927 896.73 MB * Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes. Monthly history Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2009 2009 2009 2009 2009 2009 2009 2009 2009 2009 2009 2009 Month Unique visitors Number of visits Pages Hits Bandwidth Jan 2009 0 0 0 0 0 Feb 2009 0 0 0 0 0 Mar 2009 2112 2781 15381 71620 4.59 GB Apr 2009 0 0 0 0 0 May 2009 0 0 0 0 0 Jun 2009 0 0 0 0 0 Jul 2009 0 0 0 0 0 Aug 2009 0 0 0 0 0 Sep 2009 0 0 0 0 0 Oct 2009 0 0 0 0 0 Nov 2009 0 0 0 0 0 Dec 2009 0 0 0 0 0 Total 2112 2781 15381 71620 4.59 GB Days of month 01 02 03 04 05 06 07 08 -
2008 New Media M&A Round-Up
2008 New Media M&A Round‐Up The Year in Digital Media Mergers, Acquisitions & Capital Raises PEACHTREE MEDIA ADVISORS, INC. N EW M EDIA I NVESTMENT B ANKING EACHTREE EDIA DVISORS NC P M A , I . Better Service ▪ Lower Fees New Media Mergers & Acquisitions TABLE OF CONTENTS I. Internet/New Media M&A Transactions by Sector 1 II. M&A Transactions & Capital Raised in 2008 12 III. 2008 Interactive Media Valuations/Comps 31 IV. Conclusion/2009 Outlook 37 V. Out‐of‐Home/Alternative M&A Transactions 38 VI. Conclusion/2009 Outlook 38 VII. 2008 OOH Valuations/Comps 41 Peachtree Media Advisors, Inc. Peachtree Media Advisors, Inc. is a New York based investment bank serving the out‐of‐ home and interactive marketing sectors of media. The company provides mergers, acquisitions and capital raise advisory services to lower middle‐market companies in the two fastest growing sectors of media. John Doyle, Managing Director & Founder, has been a media investment banker for more than 12 years; closed and structured more than 22 deals; and has a strong knowledge‐base of financial and strategic buyers in these sectors. If you are interested in learning more about valuation, positioning, preparation or the merger and acquisition process, please go to www.PeachtreeMediaAdvisors.com or contact John Doyle at (212) 570‐1009. John H. Doyle II Managing Director & Founder Peachtree Media Advisors, Inc. 50 Vanderbilt Ave., #30 New York, NY 10017 PH. 212.570.1009 ▪ FAX 646.607.1786 www.peachtreemediaadvisors.com Table of Contents Better Service ▪ Lower Fees New Media Mergers & Acquisitions Online Media M&A Activity in 2008 Although the Enabling, Analytics and Ad Serving category had the fourth highest In 2008, there were 707 merger, acquisition level of reported transaction value in 2008, and capital raise transactions in the online this category had the largest percentage sector of media (92 more transactions than increase in capital flowing to it than any the 615 in 2007). -
January 20, 2007 the Free-Content News Source That You Can Write! Page 1
January 20, 2007 The free-content news source that you can write! Page 1 Top Stories Wikipedia Current Events Regional High School in Sudbury has left a 15-year old student Turkish-Armenian journalist the attack. dead. killed in Turkey •A close aide to UK Prime Minister An Armenian Tony Blair is arrested in a The stabbing happened around journalist, Hrant corruption probe. 7:20 am EST, before classes had Dink, was started. A fight broke out in a assassinated •Hrant Dink, an Armenian-Turkish boy's bathroom between the 15- today at the age writer, is shot dead in Istanbul. year old victim, James Alenson and of 52 in front of Dink was convicted in 2005 for 16-year-old suspect John Odgren, the Agos 'insulting Turkishness' by writing the fight spilled out in the hallway, newspaper office, an article on the Armenian where the stabbing occured. at the Istanbul district of Genocide. Osmanbey, where he worked as •Hurricane force winds claim at The school was sent into a the editor and a journalist. least 40 lives in Western Europe "lockdown" and students were including 10 lives in Britain and ushered into the gym, cafeteria H5N1 Avian Flu virus mutates; 11 in Germany, and other victims and various classrooms. Alenson shows resistance to drugs in The Netherlands (6), Poland was rushed to Emerson Hospital A mutation in the H5N1 Avian Flu (6), Czech Republic (3) and where he was pronounced dead at or Bird Flu France (3). 8:15 am EST. Odgren admitted to virus has the stabbing and was in the •Robert Gates, the United States been found principal's office saying "I did it, I Secretary of Defense, visits in two did it," to police. -
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International Journal of Management & Information Systems – Fourth Quarter 2011 Volume 15, Number 4 History Of Search Engines Tom Seymour, Minot State University, USA Dean Frantsvog, Minot State University, USA Satheesh Kumar, Minot State University, USA ABSTRACT As the number of sites on the Web increased in the mid-to-late 90s, search engines started appearing to help people find information quickly. Search engines developed business models to finance their services, such as pay per click programs offered by Open Text in 1996 and then Goto.com in 1998. Goto.com later changed its name to Overture in 2001, and was purchased by Yahoo! in 2003, and now offers paid search opportunities for advertisers through Yahoo! Search Marketing. Google also began to offer advertisements on search results pages in 2000 through the Google Ad Words program. By 2007, pay-per-click programs proved to be primary money-makers for search engines. In a market dominated by Google, in 2009 Yahoo! and Microsoft announced the intention to forge an alliance. The Yahoo! & Microsoft Search Alliance eventually received approval from regulators in the US and Europe in February 2010. Search engine optimization consultants expanded their offerings to help businesses learn about and use the advertising opportunities offered by search engines, and new agencies focusing primarily upon marketing and advertising through search engines emerged. The term "Search Engine Marketing" was proposed by Danny Sullivan in 2001 to cover the spectrum of activities involved in performing SEO, managing paid listings at the search engines, submitting sites to directories, and developing online marketing strategies for businesses, organizations, and individuals. -
Web Search Engine
Web Search Engine Bosubabu Sambana, MCA, M.Tech Assistant Professor, Dept of Computer Science & Engineering, Simhadhri Engineering College, Visakhapatnam, AP-531001, India. Abstract: This hypertext pool is dynamically changing due to this reason it is more difficult to find useful The World Wide Web (WWW) allows people to share information.In 1995, when the number of “usefully information or data from the large database searchable” Web pages was a few tens of millions, it repositories globally. We need to search the was widely believed that “indexing the whole of the information with specialized tools known generically Web” was already impractical or would soon become as search engines. There are many search engines so due to its exponential growth. A little more than a available today, where retrieving meaningful decade later, the GYM search engines—Google, information is difficult. However to overcome this problem of retrieving meaningful information Yahoo!, and Microsoft—are indexing almost a intelligently in common search engines, semantic thousand times as much data and between them web technologies are playing a major role. In this providing reliable sub second responses to around a paper we present a different implementation of billion queries a day in a plethora of languages. If this semantic search engine and the role of semantic were not enough, the major engines now provide much relatedness to provide relevant results. The concept higher quality answers. of Semantic Relatedness is connected with Wordnet which is a lexical database of words. We also For most searchers, these engines do a better job of made use of TF-IDF algorithm to calculate word ranking and presenting results, respond more quickly frequency in each and every webpage and to changes in interesting content, and more effectively Keyword Extraction in order to extract only useful eliminate dead links, duplicate pages, and off-topic keywords from a huge set of words. -
TX−Hidalgocounty
TX−HidalgoCounty Web Log Analysis Custom Date Range Report Report Range:06/01/2008 00:00:00 − 01/09/2009 23:59:59 This report was generated by WebTrends(R) Monday January 12, 2009 − 09:47:21 Final report conversion by WebTrends Document Utility, Version 6.1a (build 419) (c) 1996−2003 NetIQ Corporation. All rights reserved. Table of Contents Overview Dashboard....................................................................................................................................................1 Commerce Dashboard..................................................................................................................................................3 Marketing Dashboard...................................................................................................................................................5 Visitors Dashboard.......................................................................................................................................................7 Pages Dashboard.........................................................................................................................................................11 Navigation Dashboard................................................................................................................................................13 Technical Dashboard..................................................................................................................................................15 Activity Dashboard.....................................................................................................................................................17 -
Regulating Search
Harvard Journal of Law & Technology Volume 22, Number 2 Spring 2009 REGULATING SEARCH Viva R. Moffat* TABLE OF CONTENTS I. INTRODUCTION..............................................................................475 II. SEARCH ENGINES AND SEARCH ENGINE DISPUTES......................479 A. The Way Search Engines Search and Store Content................482 B. The Way Search Engines Display Content...............................483 C. The Way Search Engines Make Money....................................484 III. TRACING THE SCHOLARLY DEBATE ON SEARCH ENGINE REGULATION.................................................................................487 A. The Case for Agency Regulation..............................................487 B. The Case for Market Regulation ..............................................490 C. Some Problems with the Solutions at Either End of the Spectrum ................................................................................491 1. Concerns About Agency Regulation.....................................492 2. Concerns About the Free Market Approach..........................495 IV. AN ALTERNATIVE IN THE BIPOLAR DEBATE: A FEDERAL FORUM FOR SEARCH ENGINE DISPUTES........................................498 A. A Federal Forum Compared to More Centralized Regulation..............................................................................500 1. Flexibility Allows the Common Law to Accommodate Changing Technology.....................................................500 2. The Flexibility of the Common Law Renders -
Radio Frequency Identification Based Smart
ISSN (Online) 2394-2320 International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 3, Issue 10, October 2016 History and Web Search Engines Works [1]Saurabh Kumar, [2] Maneesh Kumar, [3] Vipul Agarwal M .Tech Scholar, Department of Computer Science and Engineering, Dr. A.P.J Abdul Kalam Technical University, Lucknow (U.P), Abstract: -- A web search engine is a software system that is designed to search for information on the World Wide Web. The search results are generally presented in a line of results often referred to as search engine results pages(SERPs). The information may be a mix of web pages, images, and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories, which are maintained only by human editors, search engines also maintain real- time information by running an algorithm on a web crawler. I. INTRODUCTION Lycos Active Search engine is a web software program or Infoseek Inactive web based script available over the Internet that searches documents and files for keywords and returns the list of results containing those keywords. Today, there are 1995 AltaVista Inactive, redirected to Yahoo! numbers of different search engines available on the Internet, each with their own techniques and specialties. Daum Active Search Engine Optimization is a technique to improve visibility of a website in search engine. Magellan Inactive II. HISTORY Excite Active Timeline (full list) SAPO Active Year Engine Current status Yahoo! Active, -
Building a Web-Scale Search Engine with Perl
Building a Web-Scale Search Engine with Perl Greg Lindahl, CTO, blekko [email protected] - @glindahl - wumpus" Waah •# This is my first YAPC •# They scheduled me against Rick?! Agenda •# Personal histories •# The Search Business in 3 minutes •# Why we chose Perl •# WriAng NoSQL in Perl •# The search engine app – event-driven progr. •# ConAnuous Everything •# Updang perl (and CentOS) •# Open Data / Open Source •# Our secret sauce Personal Histories •# me: icon, usenet? or irc?, merlyn, camel book •# hp://www.pbm.com/~lindahl/ •# really a supercompuAng guy: Fortran, MPI •# Contrib to ircd (founded efnet), binuls, emacs •# others: GnuHoo => NewHoo => ODP / dmoz •# Netscape => AOL => AOL-TimeWarnerMegaCorp •# Popular open data dataset, inspired Wikipedia •# All of us know a lot of other languages The Search Business in 3 minutes •# Some people say building a real search engine costs $1 billion –#and by real, I mean mulA-billion-page crawl and index, not using Google/bing’s index •# Recent “real” failures: cuil, SearchMe; they raised ~ $30-40 million, hire 80-100 people •# The only successful new “real” engine since Google is the bing re-write! ($1B loss/year) •# We felt real innovaon was possible only if we had our own crawl and index What our marketing team says we built" API Partners Search Technology Distributed CompuAng Plaorm Crawler Indexer Machine Learning Ranker Query classifier Content API’s Ad API’s Crawled Web Our plan •# Build the basics of a search engine •# Try some innovaons, most of which will fail •# Don’t die on launch day, have a long runway •# Try some innovaons, most of which will fail •# … •# Profit! •# (we didn’t really have a plan) •# keep the team small: build an environment that makes programmers efficient Choosing perl •# “Maybe we should switch to Python –#basically the same language –#easier to hire” •# Went and bought Python books •# 1 week later: “Anyone read their book?” •# Allrighty, Perl it is. -
Search Engine: a Survey
[Singh , 2(1): Jan., 2013] ISSN: 2277 -9655 IJESRT INTERNATIONAL JOURNA L OF ENGINEERING SCI ENCES & RESEARCH TECHNOLOGY Search Engine : A Survey Ankur Singh Bist Govind Ballabh P ant University of Agriculture And Technology, Pant, India [email protected] Abstract There is lot of information available on the internet so to fetch the relevant information is very typical task . In this paper our purpose is to make a survey on various issues related to search engines li ke semantic web search technology. Keywords: Crawler, Ontology .. Introduction AlltheWeb Inactive (URL redirected to Yahoo!) Searching is an important issue to retrieve the GenieKnows Active, rebranded Yellowee.com required data . Search engines are serving the same 1999 Naver Active task . There are various challenges covered by search Teoma Active engines in recent years . There are lot of challenges Viv isimo Inactive still to be solved . Answer the intelligent questions Baidu Active most efficiently is one of the major issue that is to be 2000 handled by search engines semantic web searching Exalead Inactive approaches are evolving that are responsible for 2002 Inktomi Acquired by Yahoo! making an appropriate results for intelligent input 2003 Info.com Active query . There are also various issues related to Active, Launched own web search Yahoo! Search vertical search engines that needed to be handled by (see Yahoo! Directory, 1995) 2004 applying efficient approaches .The timeline of search A9.com Inactive engines is provided below:-- Sogou Active AOL Search Active -
[Ccebook.Cn]The Economist October 25Th 2008
www.EliteBook.net Search Welcome Economist.com My accountManage my newsletters Log out Requires subscription Friday October 24th 2008 Site feedback Home Print edition October 25th 2008 This week's print edition Into the storm Previous print editions Subscribe Daily news analysis How the emerging world copes Oct 18th 2008 Subscribe to the print edition Opinion with the tempest will affect the Oct 11th 2008 All opinion Or buy a Web subscription for world economy and politics for Oct 4th 2008 full access online Leaders a long time: leader Sep 27th 2008 Letters to the Editor Sep 20th 2008 RSS feeds Blogs Receive this page by RSS feed Columns More print editions and KAL's cartoons covers » Correspondent's diary Economist debates The world this week World politics Politics this week All world politics Business this week Politics this week KAL's cartoon International A special report on corporate IT United States The Americas Leaders Let it rise Asia Middle East and Africa The financial crisis Where the cloud meets the ground Europe Into the storm Britain Creating the cumulus Land reform in China Special reports Still not to the tiller On the periphery Business All business Information technology Highs and lows Business this week Clouds and judgment Management The long nimbus Iraq Business education When to call the soldiers home Computers without borders Finance and economics The state as owner All finance and economics Sources and acknowledgments Economics focus Re-bonjour, Monsieur Colbert Economics A-Z Offer to readers Letters Markets and -
Themen Des Information Retrieval
Andreas Henrich Daniel Blank (Hrsg.) Themen des Information Retrieval Suchmaschinen und Web-Suche Beiträge des Seminars im Sommersemester 2012 Lehrstuhl für Medieninformatik Otto-Friedrich-Universität Bamberg Inhaltsverzeichnis Designing Search User Interfaces The Design of Search User Interfaces 5 Eduard Anton Models of the Information Seeking Process 21 Andreas Hünlein Search User Interfaces: Presentation of Search Results 35 Alexander Schreiner Query specification in information retrieval 49 Alexander Knogl Popular Destinations in Kombination mit anderen 69 Methoden der Unterstützung von Query Reformulation Felix Wiedemann Information Visualization for Search Interfaces 85 Dietlinde Flavia Lump Information Visualization for Text Analysis 105 Johannes Rettig A Survey of Personalization Techniques for Online Search 127 and Recommender Systems Ralf Strobel Evaluierung im Information Retrieval Die Evaluierungsinitiative INEX 145 Christoph Jungnickl Techniken zur Identifikation typischer Wikipedia Anfragen 163 Florian Gundelsheimer Software-Bibliotheken für das Information Retrieval Sphinx - Open search server 179 Manuel Leithner Apache Solr 199 Johannes Döring MapReduce mit Apache Hadoop 217 Philipp Ott Aspekte des Enterprise Search Exploring Query Patterns in Email Search 233 Daniel Thomä Nutzungsrechte in Enterprise Search Systemen 249 - Secure Enterprise Search Michael Großmann 5 Seminararbeiten The Design of Search User Interfaces Eduard Anton Otto-Friedrich-Universität-Bamberg, Lehrstuhl für Medieninformatik [email protected]