{
"item_title" : "Ranking for Web Data Search Using On-The-Fly Data Integration",
"item_author" : [" Daniel Markus Herzig "],
"item_description" : "Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/73/150/136/3731501368_b.jpg",
"price_data" : {
"retail_price" : "93.00", "online_price" : "93.00", "our_price" : "93.00", "club_price" : "93.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Ranking for Web Data Search Using On-The-Fly Data Integration
Overview
Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783731501367
- ISBN-10: 3731501368
- Publisher: Karlsruher Institut Fur Technologie
- Publish Date: May 2014
- Dimensions: 9.61 x 6.69 x 0.46 inches
- Shipping Weight: 0.79 pounds
- Page Count: 220
Related Categories
