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» Search Engines: Information Retrieval in Practice
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FLAIRS
2007
15 years 6 days ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
MM
2009
ACM
203views Multimedia» more  MM 2009»
15 years 2 months ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
WWW
2010
ACM
15 years 4 months ago
Competing for users' attention: on the interplay between organic and sponsored search results
Queries on major Web search engines produce complex result pages, primarily composed of two types of information: organic results, that is, short descriptions and links to relevan...
Cristian Danescu-Niculescu-Mizil, Andrei Z. Broder...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 10 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
WWW
2008
ACM
15 years 10 months ago
Asymmetrical query recommendation method based on bipartite network resource allocation
This paper presents a new query recommendation method that generates recommended query list by mining large-scale user logs. Starting from the user logs of click-through data, we ...
Zhiyuan Liu, Maosong Sun