This document provides an overview of algorithms for web information retrieval. It discusses the differences between classic information retrieval and web information retrieval, including the scale and heterogeneity of web pages and user behavior. The main challenges in web information retrieval are meeting user needs given the diversity of web pages and poorly formulated queries. The document outlines common web search tools and techniques, and how their quality can be evaluated based on both relevance and page value.
Do not crawl in the dust ?different ur ls similar textGeorge Ang
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The document describes the DustBuster algorithm for discovering DUST rules - rules that transform one URL into another URL that contains similar content. The algorithm takes as input a list of URLs from a website and finds valid DUST rules without requiring any page fetches. It detects likely DUST rules based on a large support principle and small buckets principle. It then eliminates redundant rules and validates the remaining rules using a sample of URLs to identify rules that transform URLs with similar content. Experimental results on logs from two websites show that DustBuster is able to discover DUST rules that can help improve crawling efficiency.
Improving Website Performance with Memecached Webinar | Achieve InternetAchieve Internet
?
Improving the performance and scalability of your Drupal website with a Memcached implementation.
In this webinar, you will learn about:
? The components of a Memcached system
? Installing a simple Memcached installation
? Complex distributed installations and when to use them
? Verifying the installation
This document provides an overview of algorithms for web information retrieval. It discusses the differences between classic information retrieval and web information retrieval, including the scale and heterogeneity of web pages and user behavior. The main challenges in web information retrieval are meeting user needs given the diversity of web pages and poorly formulated queries. The document outlines common web search tools and techniques, and how their quality can be evaluated based on both relevance and page value.
Do not crawl in the dust ?different ur ls similar textGeorge Ang
?
The document describes the DustBuster algorithm for discovering DUST rules - rules that transform one URL into another URL that contains similar content. The algorithm takes as input a list of URLs from a website and finds valid DUST rules without requiring any page fetches. It detects likely DUST rules based on a large support principle and small buckets principle. It then eliminates redundant rules and validates the remaining rules using a sample of URLs to identify rules that transform URLs with similar content. Experimental results on logs from two websites show that DustBuster is able to discover DUST rules that can help improve crawling efficiency.
Improving Website Performance with Memecached Webinar | Achieve InternetAchieve Internet
?
Improving the performance and scalability of your Drupal website with a Memcached implementation.
In this webinar, you will learn about:
? The components of a Memcached system
? Installing a simple Memcached installation
? Complex distributed installations and when to use them
? Verifying the installation
Study on the image stitching approach and execute comparative experiments on a variety of image recognition and stitching algorithm. Implement a photo stitching program using the SIFT algorithm with MATLAB.