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{ "item_title" : "Tree Model Optimized for Precisely Predicting Location-Based Services from User Behavior Data", "item_author" : [" Venkatesh M "], "item_description" : "A social network is a collection of individuals connected by one or more types of relationships, such as friendship, shared knowledge, and common interest. Location data adds strength to social networks. A space can be specified as relative, absolute, and symbolic. Location is commonly referred to as three types of geographical representations a point, a region, and a trend. In recent times, localization strategies enhance social networking services and allow users to share their location-related content, geo-tagged photos and notes. This is known as location-based social networks (LBSNs). This chapter also includes a brief review on the available techniques. Further, the discussion on various methodologies to be applied on different datasets with related existing requirements.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/822/774/9798227749765_b.jpg", "price_data" : { "retail_price" : "31.00", "online_price" : "31.00", "our_price" : "31.00", "club_price" : "31.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Tree Model Optimized for Precisely Predicting Location-Based Services from User Behavior Data|Venkatesh M

Tree Model Optimized for Precisely Predicting Location-Based Services from User Behavior Data

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Overview

A social network is a collection of individuals connected by one or more types of relationships, such as friendship, shared knowledge, and common interest. Location data adds strength to social networks. A space can be specified as relative, absolute, and symbolic. Location is commonly referred to as three types of geographical representations a point, a region, and a trend. In recent times, localization strategies enhance social networking services and allow users to share their location-related content, geo-tagged photos and notes. This is known as location-based social networks (LBSNs). This chapter also includes a brief review on the available techniques. Further, the discussion on various methodologies to be applied on different datasets with related existing requirements.

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Details

  • ISBN-13: 9798227749765
  • ISBN-10: 9798227749765
  • Publisher: Hussaini Begum
  • Publish Date: September 2024
  • Dimensions: 11 x 8.5 x 0.24 inches
  • Shipping Weight: 0.63 pounds
  • Page Count: 116

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