{"id":8435,"date":"2020-07-15T11:47:26","date_gmt":"2020-07-15T06:17:26","guid":{"rendered":"https:\/\/codeshoppy.com\/shop\/?post_type=product&p=8435"},"modified":"2022-09-27T17:22:31","modified_gmt":"2022-09-27T11:52:31","slug":"user-behavior-pattern-in-multimedia","status":"publish","type":"product","link":"https:\/\/codeshoppy.com\/shop\/product\/user-behavior-pattern-in-multimedia\/","title":{"rendered":"User Behavior Pattern in Multimedia Dotnet"},"content":{"rendered":"

Situational Analytic Method for User Behavior Pattern in Multimedia<\/h2>\n

A primarily extended and enriched the situation analytics framework for the specific social domain, named and further proposed a novel algorithm for users\u2019 intention serialization analysis based on classic Generalized Sequential Pattern (GSP). We leveraged the huge volume of user behaviors records to explore the frequent sequence mode that is necessary to predict user intention. Our experiment selected two general kinds of intentions: playing and sharing of multimedia, which are the most common in MSNs, based on the intention serialization algorithm under different minimum support. By using the users\u2019 microscopic behaviors analysis on intentions, we found that the optimal behavior patterns of each user under the and a user\u2019s behavior patterns are different due to his\/her identity variations in a large volume of session\u2019s data. Situational Analytic Method for User Behavior Pattern in Multimedia<\/em> <\/strong><\/a>A mobile Internet and mobile terminals enable users to access to MSNs at anytime, anywhere, on behalf of any identity, including role and group. The interaction behaviors between users and MSNs are becoming more comprehensive and complicated.<\/p>\n

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User Behavior Pattern in Multimedia<\/a><\/h3>\n
<\/i> 1 file(s) <\/i> 15.33 KB<\/div>\n <\/div>\n
\n Download<\/a>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n<\/div>\n

Situational Analytic Method for User Behavior Pattern in Multimedia<\/h2>\n

Existing System<\/strong><\/h2>\n

Advancements are usually made by either customizing existing solutions for the intended use case, or by combining multiple analysis algorithms. Customizing algorithms for specific use cases is mostly achieved by either using ad hoc heuristics to improve intermediate results, or by using machine learning to train a classifier to analyze a multimedia resource. This makes these high-quality multimedia analysis methods highly specialized, and only usable for the use case they were designed for.<\/p>\n

DISADVANTAGE <\/strong><\/p>\n

Theory by combining the service environment with situation awareness to handle the dynamic update or development of service at run time.<\/p>\n

\u00a0The service can meet the changing needs of users and provide users with personalized service.<\/p>\n

In order to adapt to the dynamic service environment and make a timely respond to the feedback of service environment,<\/p>\n

Social media services increasingly require situation awareness.<\/p>\n

Proposed System<\/strong><\/h2>\n

One is to enrich and extend the Situ theory outreaching for social domain, that is the social media ecosystem, through newly and comprehensively considering user\u2019s changeable identity including role and group), and the other is to propose a novel algorithm for users\u2019 behavior pattern analysis and mining.<\/p>\n

ADVANTAGE <\/strong><\/p>\n

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  • In order to allow smart phone users to access the service easily and timely, Lee designed a recommendation mechanism to predict user\u2019s intention and activate appropriate service.<\/li>\n
  • An event-condition behavior model and a rule induction algorithm was used to find out behavior patterns of smart phone users, and then, made use of their behavior pattern to predict and recommend the appropriate service for the users.<\/li>\n<\/ul>\n

    HARDWARE REQUIREMENTS <\/strong><\/h2>\n

    System\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 :\u00a0 Intel3core<\/p>\n

    HardDisk \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0 8GB<\/p>\n

    Monitor \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0 14\u2019ColorMonitor<\/p>\n

    Mouse\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0 Optical Mouse<\/p>\n

    SOFTWARE REQUIREMENTS<\/strong><\/h2>\n

    Operating system\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0 Windows7\/8\/10<\/p>\n

    Coding Language\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0 ASP.Net with C# (Service Pack 1)<\/p>\n

    Data Base\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0\u00a0 SQL Server 2014<\/p>\n

    Tools\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 :\u00a0 Visual studio 2013<\/p>\n

    Modules <\/strong><\/h2>\n

    USER<\/strong><\/p>\n

      \n
    • Login<\/li>\n
    • View profile<\/li>\n
    • Search Friend<\/li>\n
    • View friends and Send Friend Request<\/li>\n
    • Create Post<\/li>\n
    • View Post<\/li>\n
    • Friends Post and Share Images<\/li>\n<\/ul>\n

      ADMIN<\/strong><\/p>\n

        \n
      • Add Behavioral Category<\/li>\n
      • View all friend request and response<\/li>\n
      • View added Post category<\/li>\n
      • View all Post<\/li>\n
      • View Positive Post<\/li>\n
      • View Negative Post<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

        Situational Analytic Method for User Behavior Pattern in Multimedia A primarily extended and enriched the situation analytics framework for the<\/p>\n","protected":false},"featured_media":8519,"template":"","meta":{"_joinchat":[]},"product_cat":[22],"product_tag":[],"class_list":["post-8435","product","type-product","status-publish","has-post-thumbnail","hentry","product_cat-dotnetcsharp"],"_links":{"self":[{"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product\/8435","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/media\/8519"}],"wp:attachment":[{"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/media?parent=8435"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product_cat?post=8435"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product_tag?post=8435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}