Products and Services

EE Global operates in the four lines of business through its subsidiaries:

1. Newspaper and online Publishing
2. Commercial Art Studio
3. The Third-Generation of Online Search Solutions and Services – Social Search
4. A cluster of Specialized Web Portal based on emerging Web 2.0 and Web 3.0 frameworks

    

1. Newspaper publishing

   EE Global owns and publishes two free Chinese weekly newspaper targeting 1,346,510 Canadian Chinese across Canada, 4.3% of the Canadian population, one of them is published every Thursday; the other is published every Friday. Each newspaper distributes 100,000 issues to over 1000 locations per week, with stable advertisement client bases of over 300 corporate accounts and over 500 personal accounts. Both newspapers are integrated and synchronized with its online newspaper portals. Both newspapers are profitable with solid financial status.
   
   EE Global will expand the current Chinese newspaper to a global localized newspaper/online portal chain across over 30 major cities with significant ethnic Chinese around the globe, such as Toronto, Vancouver, San Francisco,   New York, Los Angles, Chicago, Paris, Madrid, Frankfurt,   Berlin, Sydney, etc.

    

2. Commercial Art Studio

   EE Global has established two avant-garde ethnical-based commercial art studios: one for global Chinese communities, the other for global English communities. The studios have integrated a teams of veterans in commercial art designs, with the combined experiences for over 300 years in visual/audio and online and offline advertisement designs, sign/logo designs, graphic designs, interior designs and display window designs etc. All of designers have postgraduate educations in commercial arts or art-design-related trainings.

3. The Third-Generation of Online Search Solutions: Social Search engines and Services – Social Search

   
   

   The current main-street standard search engines, exemplified by tier-one solutions like Google, Yahoo and MSN, have following weaknesses and problems:

   
   

   1. Inability to crawl into the deep web. Currently, most of search engines, even including top 3 market leaders, Google, Yahoo and MSN, primarily search the surface web, unable to crawl into the deep web, or invisible Web. The surface Web (also known as the visible Web or indexable Web) is that portion of the World Wide Web that is indexed by conventional search engines. The part of the Web that is not reachable this way is called the Deep Web. Deep Web resources may be classified into one or more of the following categories:

      1. Dynamic content: dynamic pages which are returned in response to a submitted query or accessed only through a form, especially if open-domain input elements (such as text fields) are used; such fields are hard to navigate without domain knowledge.
      2. Unlinked content: pages which are not linked to by other pages, which may prevent Web crawling programs from accessing the content. This content is referred to as pages without backlinks (or inlinks).
      3. Unlinked content: pages which are not linked to by other pages, which may prevent Web crawling programs from accessing the content. This content is referred to as pages without backlinks (or inlinks).
      4. Private Web: sites that require registration and login (password-protected resources).
      5. Contextual Web: pages with contents varying for different access contexts (e.g., ranges of client IP addresses or previous navigation sequence).
      6. Limited access content: sites that limit access to their pages in a technical way (e.g., using the Robots Exclusion Standard, CAPTCHAs, or no-cache Pragma HTTP headers which prohibit search engines from browsing them and creating cached copies).
      7. Scripted content: pages that are only accessible through links produced by JavaScript as well as content dynamically downloaded from Web servers via Flash or AJAX solutions.
      8. Non-HTML/text content: textual content encoded in multimedia (image or video) files or specific file formats not handled by search engines.

      In 2000, it was estimated that the deep web contained approximately 7,500 terabytes of data and 550 billion individual documents. The estimates, based on extrapolations from a study done at University of California, Berkeley, show that the deep web consists of about 91,000 terabytes, by contrast, the surface web (which is easily reached by current standard search engines) is only about 167 terabytes, only 0.1835% of the deep web.

   2. One-sidedness and discrepancies in search algorithms and ranking schemes among different search engines. Based on a series of the researches by the industry experts and organizations, among top search engines, for the same query, the search results overlapping is very low and ranking differences are significant, for example, one study evaluated the search results from 10,316 random user-defined queries across Google, Yahoo!, and Ask , the results found that only 3.2 percent of first page search results were the same across the top three search engines for a given query. Another study evaluated the search results from 12,570 random user-defined queries across Google, Yahoo, MSN Search and Ask, the results found that only 1.1 percent of first page search results were the same across the top four search engines for a given query, and only 2.6 percent of first page search results were the same across Google, Yahoo!, and Ask for a given query.

   3. The accuracy of key words-matching and page-ranking algorithms is still very low and has reached a theoretical ceiling. Even if some search engines add “Advanced Search“ functionality based on Boolean logic, their accuracy improvements are still not significant, for, no matter how smart your key words-matching and page ranking algorithm are, there is a theoretical accuracy ceiling, if you do not add semantic-based and conversational-based search algorithm and mechanism. In a word, today’s main-street search engines, including three top search engines (Google, Yahoo and MSN) have reached a theoretical accuracy ceiling.

   4. Lack of effective search personalization and user and peer participations: the current search processes are completely dictated by machine-based crawling and ranking algorithms controlled by the search providers, the user is just a passive consumer, human-involvement, personalization and user/peer input are not incorporated to reflect user-preferred search categorization, ranking criteria, theme selections, result presentation format, and peer efforts etc. We need the new generation of social or collaborative search engine and framework based on Web.2.0 and Web 3.0 to create user-centric, user-dominated and peer-collaborative search framework, eventually to make the web search a service or strategy or social or massive peer effort, not just a tool, to combine machine-facilitated searches with user-preferred and peer-collaborated searches in terms of data collections (such as spider crawl and user contribution/input), data organization (such as machine-based and user/peer-based indexing and categorizations), data ranking (machine-based ranking and user/peer defined ranking algorithms) and data navigation(such as querying and human navigations) and data presentation (user-preferred search result presentation format). Under this framework, online search will become a massive peer collaborations among the peer vendors and peer users, a social search facilitated by machine-based algorithms.

   5. Lack of search localization. Today’s mainstream search engines are not fully localized , even some of map-based searches offer certain localized services, these localizations are very limited , primarily dictated by machine, not by human involvements.

      In order to resolve foregoing weaknesses, limitations and problems of the first-gen directory and second-gen standard search engines and solutions, and leapfrog the online search services to a new height, EE Global has launched the third generations of online search solutions, Social Search, built on its proprietary technology and unique approach to the online search, challenging the current second-gen main-street search engines like Google, Yahoo and MSN in following aspects:

      • Federated and meta search to avoid the one-sidedness and discrepancies in search algorithm and ranking scheme of all main-street search engines: broadcast the single query to all top search engines ( also including other meta search engines ) , then use proprietary algorithms to parse search results from all top search engines, eliminate duplications, consolidate the search results, and render reformed search results to end users;
      • Deep search to crawl from the surface web into the deep web to astronomically expand the scope of online search services;
      • Conversational search to break through the theoretical accuracy ceiling of the current key words-matching and page-ranking, by adding semantic-based and conversational-based contextual search algorithms and mechanisms;
      • Personalized and peer-collaborative search to combine machine-based search with user/peer-defined search, based on the Web 2.0 and Web 3.0 - user-centric, user-defined, peer-collaborative, and artificial-intelligence (AI)-based search framework, to make the web search a personalized service or strategy or massive peer-collaborative effort, not just a tool, with which peer search engines, peer directories and peer users will collaborate on a large scale.
      • Localized search to make an online service personalized, localized and collaborated.

4. A cluster of Specialized Web Portal based on emerging Web 2.0 and Web 3.0 frameworks

   
   EE Global Inc. creates a cluster of the new-generation web portals based on the emerging web 3.0 and Web 2.0 frameworks, released in multiple language versions implementing the 6 most popular languages: Chinese (Simplified and Traditional ), English, French , Japanese, German, and Spanish. Currently, Chinese (Simplified) and English version have been released, the other language versions will be released next year.
   
   • The portals target the 1.31 billion of Chinese around the globe, with 1.3 billion in the Mainland and close to 100 million oversea Chinese around the globe, promote Chinese culture and tradition through over 1000 cultural-specific topic themes, and provide the platforms to allow global Chinese to voice and express their unique concerns and interact with one other.
   • The cluster of portals consists of both general-purpose portals targeting the general public and topics, and specific-focused portals targeting market niches.
   • Currently, the portals has over 20 million registered users, with monthly hits over 10 billion, and page view over 3 billion,
   • The portals fully comply with emerging dynamic users-centric and user-defined/participated web 2.0 and Web 3.0 frameworks, with forums, blogs, columns, communities, circles, image sharing, video/audio sharing, online bookmarks, dynamic yellow page, recruiting, dating, classifieds, news generated by user, etc.
   • The cluster of portals is both localized and globalized, positioned as Global Local Portals: on one hand, all news, classified, yellow page, etc. are localized relevant to the individual local city and community around the globe, on the other hand, almost every city around the world has its own portal nested in the consolidated general portal, so that an user can find or post information relevant to his own local city and community while also have a bird view of the globe.
   • EE Global Inc. also has a financial portal and a newspaper portal integrated with its two offline newspaper.

Strategic Roadmap

Information about EE Global's very ambitious roadmap for the coming years.

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