<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>search engine on Siddharth Jain</title><link>https://www.siddharthjain.dev/tags/search-engine/</link><description>Recent content in search engine on Siddharth Jain</description><generator>Hugo -- gohugo.io</generator><lastBuildDate>Sun, 23 Feb 2020 23:01:45 -0700</lastBuildDate><atom:link href="https://www.siddharthjain.dev/tags/search-engine/index.xml" rel="self" type="application/rss+xml"/><item><title>Web Scale Responsive Visual Search at Bing</title><link>https://www.siddharthjain.dev/posts/2020/web-scale-responsive-visual-search-at-bing/</link><pubDate>Sun, 23 Feb 2020 23:01:45 -0700</pubDate><guid>https://www.siddharthjain.dev/posts/2020/web-scale-responsive-visual-search-at-bing/</guid><description>This post is a summary of the paper:
Web-Scale Responsive Visual Search at Bing, Hu et al., 2018
Introduction Visual search is an interesting research area. A visual search system ranks a list of visually similar images when presented with a query image.
As in all search systems, latency and relevance of returned results are key metrics to evaluate such a system.</description></item><item><title>The Anatomy of a Large-Scale Hypertextual Web Search Engine</title><link>https://www.siddharthjain.dev/posts/2019/anatomy-of-large-scale-hypertextual-web-search-engine/</link><pubDate>Wed, 06 Feb 2019 22:43:09 -0700</pubDate><guid>https://www.siddharthjain.dev/posts/2019/anatomy-of-large-scale-hypertextual-web-search-engine/</guid><description>This is a well-known paper. It was published in 1998 and it describes Google as a prototype of a large-scale search engine. According to the authors, this paper was the first in-depth public description of a large-scale web search engine. The authors describe how to build a practical large-scale search system that exploits information present in hypertext, thus producing better search results than existing search systems.</description></item></channel></rss>