Existing System<\/strong><\/h2>\nThe results show that NetSpam outperforms the existing methods and among four categories of features; including review-behavioral, use behavioral, review linguistic, user linguistic, the first type of features performs better than the other categories.<\/p>\n
Despite this great deal of efforts, many aspects have been missed or remained unsolved. One of them is a classifier that can calculate feature weights that show each feature\u2019s level of importance in determining spam reviews. The general concept of our proposed framework is to model a given review dataset as a Heterogeneous Information Network (HIN) and to map the problem of spam detection into a HIN classification problem. In particular, we model review dataset as a HIN in which reviews are connected through different node types. The general concept of our proposed framework is to model a given review dataset as a Heterogeneous Information Network and to map the problem of spam detection into a HIN classification problem. In particular, we model review dataset as in which reviews are connected through different node types.<\/p>\n
DISADVANTAGES<\/strong><\/p>\n\n- The reviews written to change users\u2019 perception of how good a product or a service are considered as spam , and are often written in exchange for money<\/li>\n
- Time Complexity.<\/li>\n
- The fact that anyone with any identity can leave comments as review, provides a tempting opportunity for spammers to write fake reviews designed to mislead users\u2019 opinion<\/li>\n<\/ul>\n
Proposed System<\/strong><\/h2>\nIn this paper, they have introduced a machine learning based spammer detection solution for social networks. The solution considers the user’s content and behavior feature, and apply them into Content based Filtering algorithm for spammer classification. Through a multitude of analysis, experiment, evaluation and prototype implementation work, have shown that proposed solution is feasible and is capable to reach much better classification result than the other existing approaches. A spam detection prototype system has been proposed to identify suspicious users in Online shopping websites. The social-spam detection framework can be split into two main components. First one OTP System. In this system user enter their reviews only after purchasing the product by using this code. This OTP system we can used in two process one is for enter review login and another one for viewing the both positive and negative feature based review.Second components to discover fake review users by using content based filtering algorithm. These functions are designed to help server side (seller side) to discover spammer easily and blocked spam users. To detect the frequent spammers by using credit based approach.\u00a0<\/strong>\u00a0<\/strong><\/p>\nADVANTAGES:<\/strong><\/p>\n\n- To identify spam and spammers as well as different type of analysis on this topic.<\/li>\n
- Written reviews also help service providers to enhance the quality of their products and services<\/li>\n
- By using features with more weights will resulted in detecting fake reviews easier with less time complexity<\/li>\n
- To Introduce credit point ranking system by using this we can able to find out the frequent spammers<\/li>\n
- To introduce one time password system to prevent the fake reviews.<\/li>\n<\/ul>\n
HARDWARE REQUIREMENTS <\/strong><\/h2>\nSystem\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>\nOperating 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\n- USER<\/li>\n
- SELLER<\/li>\n
- ADMIN<\/li>\n<\/ol>\n
User:<\/strong><\/p>\n\n- Login<\/li>\n
- View All Products<\/li>\n
- View Top Ranking Product<\/li>\n
- Insert Review For Particular Product<\/li>\n
- Logout<\/li>\n<\/ul>\n
Admin:<\/strong><\/p>\n\n- View All Users<\/li>\n
- Activate Account<\/li>\n
- View Top Product<\/li>\n
- View Recommend Product<\/li>\n
- View All Review Details<\/li>\n<\/ul>\n
Seller<\/strong><\/p>\n\n- Update Product<\/li>\n
- View Product Details<\/li>\n<\/ul>\n
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Spam Detection Framework for Reviews in Online Social Sites The impact of social spam is already significant. A social spam<\/p>\n","protected":false},"featured_media":8514,"template":"","meta":{"_joinchat":[]},"product_brand":[],"product_cat":[22],"product_tag":[],"class_list":{"0":"post-8425","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-dotnetcsharp","8":"first","9":"outofstock","10":"shipping-taxable","11":"purchasable","12":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product\/8425","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\/8514"}],"wp:attachment":[{"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/media?parent=8425"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product_brand?post=8425"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product_cat?post=8425"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/codeshoppy.com\/shop\/wp-json\/wp\/v2\/product_tag?post=8425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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