Review Paper on Search-Engine Optimization Shraddha Londhe1, Dr
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A Study on Vertical and Broad-Based Search Engines
International Journal of Latest Trends in Engineering and Technology IJLTET Special Issue- ICRACSC-2016 , pp.087-093 e-ISSN: 2278-621X A STUDY ON VERTICAL AND BROAD-BASED SEARCH ENGINES M.Swathi1 and M.Swetha2 Abstract-Vertical search engines or Domain-specific search engines[1][2] are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, Broad-based search engines or Web-wide search engines. The paper focuses on the survey of domain specific search engine which is becoming more popular as compared to Web- Wide Search Engines as they are difficult to maintain and time consuming .It is also difficult to provide appropriate documents to represent the target data. We also listed various vertical search engines and Broad-based search engines. Index terms: Domain specific search, vertical search engines, broad based search engines. I. INTRODUCTION The Web has become a very rich source of information for almost any field, ranging from music to histories, from sports to movies, from science to culture, and many more. However, it has become increasingly difficult to search for desired information on the Web. Users are facing the problem of information overload , in which a search on a general-purpose search engine such as Google (www.google.com) results in thousands of hits.Because a user cannot specify a search domain (e.g. medicine, music), a search query may bring up Web pages both within and outside the desired domain. Example 1: A user searching for “cancer” may get Web pages related to the disease as well as those related to the Zodiac sign. -
An Annotated Bibliography
Mark Andrea Standards in Single Search: An Annotated Bibliography Mark Andrea INFO 522: Information Access & Resources Winter Quarter 2010 Mark Andrea Introduction and Scope The following bibliography is a survey of scholarly literature in the field of metasearch standards as defined by the Library of Congress (LOC) and the National Information Standards Organization (NISO). Of particular interest is the application of the various protocols, as described by the standards, to real world searching of library literature found in scholarly databases, library catalogs and internally collected literature. These protocols include z39.50, Search Retrieval URL (SRU), Search Retrieval Web Service (SRW) and Context Query Language (CQL) as well as Metasearch XML Gateway (MXG). Description Libraries must compete with the web to capture users who often do not consider the wealth of information resources provided by the library. This has only been an issue in the last decade. Prior to that, most users, and that includes academic and specialty library users such as corporate users, went to a physical library for their research. With the rise of web-based information, users have become accustomed to easy keyword searching from web pages where sources can range from known and established authority to completely the opposite. Libraries have responded with attempts to provide easy search interfaces on top of complex materials that have been cataloged and indexed according to controlled vocabularies and other metadata type tools. These tools have enabled users for decades effectively find information. In some cases it’s merely an issue of education that most researchers are lacking. So are these metasearch systems ultimately a step backward to accommodate the new search community or do they really address the need to find information that continues to grow exponentially. -
Open Search Environments: the Free Alternative to Commercial Search Services
Open Search Environments: The Free Alternative to Commercial Search Services. Adrian O’Riordan ABSTRACT Open search systems present a free and less restricted alternative to commercial search services. This paper explores the space of open search technology, looking in particular at lightweight search protocols and the issue of interoperability. A description of current protocols and formats for engineering open search applications is presented. The suitability of these technologies and issues around their adoption and operation are discussed. This open search approach is especially useful in applications involving the harvesting of resources and information integration. Principal among the technological solutions are OpenSearch, SRU, and OAI-PMH. OpenSearch and SRU realize a federated model to enable content providers and search clients communicate. Applications that use OpenSearch and SRU are presented. Connections are made with other pertinent technologies such as open-source search software and linking and syndication protocols. The deployment of these freely licensed open standards in web and digital library applications is now a genuine alternative to commercial and proprietary systems. INTRODUCTION Web search has become a prominent part of the Internet experience for millions of users. Companies such as Google and Microsoft offer comprehensive search services to users free with advertisements and sponsored links, the only reminder that these are commercial enterprises. Businesses and developers on the other hand are restricted in how they can use these search services to add search capabilities to their own websites or for developing applications with a search feature. The closed nature of the leading web search technology places barriers in the way of developers who want to incorporate search functionality into applications. -
Local Search 101
Local search 101 Modern consumers start their shopping journeys on search engines and online directories. The results they get from those sites determine where they spend their money. If you don’t appear in the local search results, that sale goes to your competitor. What We Do For You Listings Management Listings Management ensures your online content is accurate and relevant. Our platform will get your locations listed and crawled for updates daily, weekly or monthly. Reputation Management Reputation Management within the platform allows you to monitor and respond to your reviews from directories including Google and Facebook. Keyword Ranking 80% of shoppers Keyword Ranking monitoring to make sure your keywords are performing so you can optimize where and when it search online matters. to find brick-and-mortar stores & 90% of all transactions Actionable Analytics are made in-store. Actionable Analytics allow you to track the performance of each of your locations — from the baseline measurement (Sources: Deloitte, Gartner) of your listings coverage and accuracy all the way to the revenue generated by your local marketing campaigns. We help you get found online. Getting your business found across the internet takes time and expertise to get it right. Our automated software takes care of the hard work for you, and drives customers to your locations. Local searches = motivated shoppers 51% of local searches convert to in-store sales within 24 hours (Source: Google) Why local? Marketing is about connecting with your customers. And today's consumer is local, and they are mobile. Consumers are searching for your business on their smartphones, and if you aren't there - they will choose your competition. -
Efficient Focused Web Crawling Approach for Search Engine
Ayar Pranav et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.5, May- 2015, pg. 545-551 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 4, Issue. 5, May 2015, pg.545 – 551 RESEARCH ARTICLE Efficient Focused Web Crawling Approach for Search Engine 1 2 Ayar Pranav , Sandip Chauhan Computer & Science Engineering, Kalol Institute of Technology and Research Canter, Kalol, Gujarat, India 1 [email protected]; 2 [email protected] Abstract— a focused crawler traverses the web, selecting out relevant pages to a predefined topic and neglecting those out of concern. Collecting domain specific documents using focused crawlers has been considered one of most important strategies to find relevant information. While surfing the internet, it is difficult to deal with irrelevant pages and to predict which links lead to quality pages. However most focused crawler use local search algorithm to traverse the web space, but they could easily trapped within limited a sub graph of the web that surrounds the starting URLs also there is problem related to relevant pages that are miss when no links from the starting URLs. There is some relevant pages are miss. To address this problem we design a focused crawler where calculating the frequency of the topic keyword also calculate the synonyms and sub synonyms of the keyword. The weight table is constructed according to the user query. To check the similarity of web pages with respect to topic keywords and priority of extracted link is calculated. -
Press Release
GenieKnows.com Gains Access to Business- Verified Listings Through Partnership with Localeze May 1, 2008 New Local Search Engine Player Partners with Localeze to Provide Users with Enhanced Content, Offers 16 Million U.S. Business Listings SEATTLE Wa., – Localeze, the leading expert on local search engine business content management, announced today that it has partnered with GenieKnows.com to provide over 16 million U.S. business listings including listings directly verified and enhanced by businesses to GenieKnows’ local business directory search engine, GenieKnows Local. Genie Knows Local allows users to quickly pinpoint local businesses via map, and view addresses, phone numbers, reviews, references and related Web sites trough a unique hybrid landing page. Alongside Google and MSN, GenieKnows Local is one of only three search engines covering all of the U.S. and Canada. GenieKnows Local provides the ultimate combination in mapping technology and local search directories. Using its patent pending GeoRank™ algorithm, GenieKnows Local links verified business listings with potentially uncategorized web pages containing addresses. The algorithm extracts and codes the addresses, identifying the geographic coordinates with which the listings are associated. “The volume of new and repeat visits to GenieKnows Local will be driven by our ability to bridge ready-to-buy consumers with the right local businesses online,” said John Manning, senior vice president of business development at GenieKnows. “The decision to partner with Localeze for our U.S. content was natural one; Localeze’s unparalleled data integrity, which includes enhanced and up-to-date local business listings, will undoubtedly improve the search experience for GenieKnows Local’s users.” Localeze creates accurate, comprehensive, listing profiles on local businesses, and then uses proprietary intelligent category classification and keyword matching logic to interpret and tag the data exclusively for local search engines. -
Your Local Business Guide to Digital Marketing
Your Local Business Guide to Digital Marketing By Isabella Andersen Your Local Business Guide to Digital Marketing By Isabella Andersen Senior Content Writer Table of Contents Introduction 3 What Is Local Search Marketing? 5 Develop a Successful Review Marketing Strategy 10 Reach New Markets With Paid Advertising 15 Get Started With Social Media 19 Tips, Tricks & Trends 26 Sources 29 YOUR LOCAL BUSINESS GUIDE TO DIGITAL MARKETING ⋅ REVLOCAL.COM 2 1 Introduction id you know that 78 percent of local mobile searches result in Dan in-store purchase?1 Consumers search online for businesses like yours every day, but are you showing up? of local mobile searches end with 78% an oine purchase. If your business has no online marketing strategy, you will quickly fall behind the competition. It's time to build a digital footprint that drives foot traffic and sales and puts your business on the map. We created this guide to help you put your business in front of the right consumers wherever they're searching. YOUR LOCAL BUSINESS GUIDE TO DIGITAL MARKETING ⋅ REVLOCAL.COM 4 What is Local Search 2 Marketing? Some people call it local SEO. For others, it's map marketing. Whatever you call it, local search marketing is all about putting your business on the map and into local search results online. It's more important than ever that your business appears in the local results, since 72 percent of consumers who performed a local search visited a store within five miles.2 How can you do that? Provide Consistent, Correct Information You have to tell search engines like Google, Bing and Yahoo! where your business is located, what you do and that you're trustworthy, among other things. -
Meta Search Engine with an Intelligent Interface for Information Retrieval on Multiple Domains
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.1, No.4, October 2011 META SEARCH ENGINE WITH AN INTELLIGENT INTERFACE FOR INFORMATION RETRIEVAL ON MULTIPLE DOMAINS D.Minnie1, S.Srinivasan2 1Department of Computer Science, Madras Christian College, Chennai, India [email protected] 2Department of Computer Science and Engineering, Anna University of Technology Madurai, Madurai, India [email protected] ABSTRACT This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines, and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search provides the user with results for queries on that domain. Meta Search Engines send the user’s search queries to various search engines and combine the search results. This paper introduces intelligent user interfaces for selecting domain, category and search engines for the proposed Multi-Domain Meta Search Engine. An intelligent User Interface is also designed to get the user query and to send it to appropriate search engines. Few algorithms are designed to combine results from various search engines and also to display the results. KEYWORDS Information Retrieval, Web Search Engine, Vertical Search Engine, Meta Search Engine. 1. INTRODUCTION AND RELATED WORK WWW is a huge repository of information. The complexity of accessing the web data has increased tremendously over the years. There is a need for efficient searching techniques to extract appropriate information from the web, as the users require correct and complex information from the web. A Web Search Engine is a search engine designed to search WWW for information about given search query and returns links to various documents in which the search query’s key words are found. -
What Is Local SEO? Local Search Marketing Is Anything You Do on the Web to Promote a Physical Business That Makes Face-To-Face Contact with Its Customers
What is Local SEO? Local search marketing is anything you do on the web to promote a physical business that makes face-to-face contact with its customers. Looks like no one goes past the second page of search results… � Source: https://seo-hacker.com/lesson-28-important-page-serps/ Source: https://moz.com/learn/seo/what-is-local-search-marketing-seo Guideline compliance The way you conceptualise and market your type of local business will be based on the Guidelines for Representing Your Business On Google. • Your Google My Business listing is the most important listing you build for your company; failure to comply with Google’s guidelines can result in ranking failures and even listing takedowns. • To play it smart, you must be able to see your business the way Google does and follow the appropriate guidelines. Search: Guidelines for Representing Your Business On Google Google My Business – The big Kahuna! • Claim your listing if you haven’t! go to google.com/business • Ensure all your contact information, business descriptions and address/map location is always up to date. • Add your primary category and sub-categories. • Setup a “Shortname”. • Add your logo and business photos -location, shop fitout, services & team. • Add videos and virtual tours. Google My Business – Once you are live • Gain insights into how people are finding you including what type of keywords they have used. • See the number of people finding you on google search results vs google maps. • See common actions that took place – users have: visited to your website, requested directions or called you. -
DMU Handout for Presentations 3 5 12
Practice Marketing Solutions Dental Marketing Universe provides you with a wide array of proven marketing solutions designed to help your practice grow. Whether your practice is looking for a simple website, referral marketing, team training or a direct to consumer marketing campaign, we have the right solutions for you. A comprehensive program for building your speciality practice referrals. The ReferralZone delivers patients to the general dentist directly from the speciality practice. What better way ReferralZone™ to build referrals! Sending patients to your referrals couldn’t be easier! DMU manages the entire program so you and your referring practices can do what you do best, practice dentistry! Benefits – Builds loyalty with your referring practices and delivers patients directly to the general dentist. The next generation website solution for dental professionals who want the ultimate Web presence for their practice. In addition to spectacular site styles, each website is powered by an exclusive Web Engine technology that provides the dentist with unique ability to control ProSites™ virtually every aspect of their website, without any knowledge of programming or web design skills. Stop paying web designers to make changes to your website. Search Engine Optimized (SEO), complete editing control. Get your website up and running in less than a day! Ask about our zero interest financing! Benefits – Helps inform, educate and deliver new patients. You may have a great web presence but when potential patients visit your website on a mobile device they may find it difficult to navigate your site. AT&T research indicates that over 72% of these people leave your website never to return. -
DEEP WEB IOTA Report for Tax Administrations
DEEP IOTA Report for Tax Administrations IOTA Report for Tax Administrations – Deep Web DEEP WEB IOTA Report for Tax Administrations Intra-European Organisation of Tax Administrations (IOTA) Budapest 2012 1 IOTA Report for Tax Administrations – Deep Web PREFACE This report on deep Web investigation is the second report from the IOTA “E- Commerce” Task Team of the “Prevention and Detection of VAT Fraud” Area Group. The team started operations in January 2011 in Wroclaw, Poland initially focusing its activities on problems associated with the audit of cloud computing, the report on which was published earlier in 2012. During the Task Teams’ second phase of work the focus has been on deep Web investigation. What can a tax administration possibly gain from the deep Web? For many the deep Web is something of a mystery, something for computer specialists, something they have heard about but do not understand. However, the depth of the Web should not represent a threat as the deep Web offers a very important source of valuable information to tax administrations. If you want to understand, to master and to fully exploit the deep Web, you need to see the opportunities that arise from using information buried deep within the Web, how to work within the environment and what other tax administrations have already achieved. This report is all about understanding, mastering and using the deep Web as the key to virtually all audits, not just those involving E-commerce. It shows what a tax administration can achieve by understanding the deep Web and how to use it to their advantage in every audit. -
Harnessing the Deep Web: Present and Future
Harnessing the Deep Web: Present and Future Jayant Madhavan Loredana Afanasiev Lyublena Antova Alon Halevy Google Inc. Universiteit van Amsterdam Cornell University Google Inc. [email protected] [email protected] [email protected] [email protected] 1. INTRODUCTION pre-compute queries to forms and inserts the resulting pages The Deep Web refers to content hidden behind HTML into a web-search index. These pages are then treated like forms. In order to get to such content, a user has to perform any other page in the index and appear in answers to web- a form submission with valid input values. The name Deep search queries. We have pursued both approaches in our Web arises from the fact that such content was thought to work. In Section 3 we explain our experience with both, be beyond the reach of search engines. The Deep Web is and where each approach provides value. also believed to be the biggest source of structured data on We argue that the value of the virtual integration ap- the Web and hence accessing its contents has been a long proach is in constructing vertical search engines in specific standing challenge in the data management community [1, domains. It is especially useful when it is not enough to 8, 9, 13, 14, 18, 19]. just focus on retrieving data from the underlying sources, Over the past few years, we have built a system that ex- but when users expect a deeper experience with the con- posed content from the Deep Web to web-search users of tent (e.g., making purchases) after they found what they Google.com.