Institution
Yahoo!
Company•London, United Kingdom•
About: Yahoo! is a company organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Web search query. The organization has 26749 authors who have published 29915 publications receiving 732583 citations. The organization is also known as: Yahoo! Inc. & Maudwen-Yahoo! Inc.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: All the important aspects of the PCR for Brucella DNA detection and its utility in the diagnosis and follow-up of patients with brucellosis are reviewed.
Abstract: Brucellosis is a zoonosis caused by facultative intracellular bacteria of the genus Brucella, which are widely distributed in both humans and animals, especially in the developing world. The diagnosis of human brucellosis requires isolation of the bacteria or confirmation through serologic tests. However, culture sampling sensitivity is often low, depending on the disease stage, Brucella species, culture medium, quantity of circulating bacteria and blood culture technique employed. The development of the PCR has offered a new dimension in the diagnosis of different microorganisms, which is possible in just a few hours. Over the past decade, there have been major advancements in all aspects of molecular diagnostics with regard to human brucellosis. PCR-based tests are proving to be faster and more sensitive than traditional methods. However, the sensitivity and specificity of the PCR for Brucella vary between laboratories and no standardization of sample preparation, target genes and detection methods have been established yet. Therefore, in this study, all the important aspects of the PCR for Brucella DNA detection and its utility in the diagnosis and follow-up of patients with brucellosis are reviewed.
132 citations
•
11 Dec 2008TL;DR: In this article, the authors propose a rich media for enhancing user interaction with a messaging program, which includes user perceptible content and content specific information, such as a small animated picture with an embedded sound file that messaging program users can send to each other.
Abstract: Methods and apparatus for providing rich media for enhancing user interaction with a messaging program. The rich media includes user perceptible content and content specific information. User perceptible content may include a small animated picture with an embedded sound file that messaging program users can send to each other during a messaging session. Content specific information may include a description of the perceptible content, context menu items including universal resource identifiers that link to information related to the content and information related to other messaging program content. In addition computer code is provided to allow communication between the rich media and the messaging program so that the messaging program and the rich media can interoperate.
132 citations
••
01 Aug 2008TL;DR: This paper investigates efficient top-k processing when the score of an answer is computed as its popularity among members of a seeker's network, and develops algorithms based on maintaining score upper-bounds.
Abstract: The popularity of collaborative tagging sites presents a unique opportunity to explore keyword search in a context where query results are determined by the opinion of a network of taggers related to a seeker. In this paper, we present the first in-depth study of network-aware search. We investigate efficient top-k processing when the score of an answer is computed as its popularity among members of a seeker's network. We argue that obvious adaptations of top-k algorithms are too space-intensive, due to the dependence of scores on the seeker's network. We therefore develop algorithms based on maintaining score upper-bounds. The global upper-bound approach maintains a single score upper-bound for every pair of item and tag, over the entire collection of users. The resulting bounds are very coarse. We thus investigate clustering seekers based on similar behavior of their networks. We show that finding the optimal clustering of seekers is intractable, but we provide heuristic methods that give substantial time improvements. We then give an optimization that can benefit smaller populations of seekers based on clustering of taggers. Our results are supported by extensive experiments on del.icio.us datasets.
131 citations
•
29 Aug 2008TL;DR: In this paper, the authors describe a system and method of managing digital content received from content providers and for facilitating access to the digital content to many subscribers, which includes receiving from the content providers incoming feed files where each feed file contains information describing the content.
Abstract: The present invention describes a system and method of managing digital content received from content providers and for facilitating access to the digital content to many subscribers. The method includes receiving from the content providers incoming feed files where each feed file contains information describing the content. The method determines if the feed files are approved by applying a template to the feed files and also receives request files from the subscribers where each request file contains search criteria. The method provides one or more answer files in response to the request files where each answer file identifies feed files that meet the search criteria of a corresponding request file. The answer files are used to access or permit access to digital content on the web. In addition, a graphical user interface is described to manage, edit, promote and delete the feed files provided to the system.
131 citations
•
29 May 2007
TL;DR: In this article, a system and method are directed towards a free-form search query of user reviews using user profile, location information, and/or social networks, to obtain a result having an associated universal aggregated rating.
Abstract: A system and method are directed towards a free-form search query of user reviews using user profile, location information, and/or social networks, to obtain a result having an associated universal aggregated rating. The user may enter in free-form a search query that may then be transparently modified using the user's profile, social network, and/or current physical location. The search results may then be presented to the user along with aggregated weighted ratings. The user may also enter products and/or services into a data store, including comments, and a universal rating. In one embodiment, the user may provide a tag to another reviewer's comments that may be useable to aggregate ratings. In one embodiment, the user's profile, location, and/or social networking information may be used to further annotate the user's inputs.
131 citations
Authors
Showing all 26766 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ashok Kumar | 151 | 5654 | 164086 |
Alexander J. Smola | 122 | 434 | 110222 |
Howard I. Maibach | 116 | 1821 | 60765 |
Sanjay Jain | 103 | 881 | 46880 |
Amirhossein Sahebkar | 100 | 1307 | 46132 |
Marc Davis | 99 | 412 | 50243 |
Wenjun Zhang | 96 | 976 | 38530 |
Jian Xu | 94 | 1366 | 52057 |
Fortunato Ciardiello | 94 | 695 | 47352 |
Tong Zhang | 93 | 414 | 36519 |
Michael E. J. Lean | 92 | 411 | 30939 |
Ashish K. Jha | 87 | 503 | 30020 |
Xin Zhang | 87 | 1714 | 40102 |
Theunis Piersma | 86 | 632 | 34201 |
George Varghese | 84 | 253 | 28598 |