January 2014
Intermediate to advanced
264 pages
8h 49m
English
Content preview from Relevance Ranking for Vertical Search Engines
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6
Entity Ranking
Abstract
Entity ranking is a recent paradigm that refers to retrieving and ranking related objects and entities from different structured sources in various scenarios. Entities typically have associated categories and relationships with other entities. In this chapter, we introduce how to build a Web-scale entity ranking system based on machine learned ranking models. Specifically, the entity ranking system usually takes advantage of structured knowledge bases, entity relationship graphs, and user data to derive useful features in order to facilitate semantic search with entities directly within the learning-to-rank framework. Similar to generic Web search ranking, entity pairwise preference can be leveraged to form the objective ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.