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Source: ACM Conference on Information and Knowledge Management (CIKM) (2011) Abstract: Understanding what interests and delights users is critical to effective behavioral targeting, especially in information-poor contexts. As users interact with content and advertising, their passive behavior can reveal their interests towards advertising. Two issues are critical for building effective targeting met
Abstract: We study several longstanding questions in media communications research, in the context of the microblogging service Twitter, regarding the production, flow, and consumption of information. To do so, we exploit a recently introduced feature of Twitter---known as Twitter lists---to distinguish between elite users, by which we mean specifically celebrities, bloggers, and representatives o
Source: ACM Symposium on Cloud Computing, ACM, Indianapolis, IN, USA (2010) Abstract: While the use of MapReduce systems (such as Hadoop) for large scale data analysis has been widely recognized and studied, we have recently seen an explosion in the number of systems developed for cloud data serving. These newer systems address ``cloud OLTP'' applications, though they typically do not support ACID
Benchmarking Cloud Serving Systems with YCSB Brian F. Cooper, Adam Silberstein, Erwin Tam, Raghu Ramakrishnan, Russell Sears Yahoo! Research Santa Clara, CA, USA {cooperb,silberst,etam,ramakris,sears}@yahoo-inc.com ABSTRACT While the use of MapReduce systems (such as Hadoop) for large scale data analysis has been widely recognized and studied, we have recently seen an explosion in the number of s
With the many new serving databases available including Sherpa, BigTable, Azure and many more, it can be difficult to decide which system is right for your application, partially because the features differ between systems, and partially because there is not an easy way to compare the performance of one system versus another. The goal of the Yahoo! Cloud Serving Benchmark (YCSB) project is to dev
The Third ACM International Conference on Web Search and Data Mining (WSDM 2010) was held at the Polytechnic Institute of NYU in Brooklyn, NY. WSDM is a young conference that has already become a top-tier publication venue for research in search and data mining. In contrast to some of the larger conferences, WSDM is more intimate and single-track, with over 200 attendees from organizations such as
Source: Managing and mining graph data, Springer (2009) Abstract: Graph structures provide a general framework for modeling entities and their relationships, and they are routinely used to describe a wide variety of data such as the Internet, the web, social networks, metabolic networks, protein-interaction networks, food webs, citation networks, and many more. In the recent years there has been a
The ACM SIGMOD/PODS Conference was held June 29th to July 2nd in Providence, Rhode Island. Yahoo! earned three awards this year including the Best Paper Award for "Generating Example Data for Dataflow Programs" by Chris Olston, Shubham Chopra and Utkarsh Srivastava. Bee-Chung Chen and Ashwin Machanavajjhala also earned Best Dissertation Runner-Up Awards for their work on “Cube-Space Data Mining” a
SIGIR is the major international forum for the presentation of new research results and the demonstration of new systems and techniques in the broad field of information retrieval. Yahoo! has 7 papers accepted at this year's conference including the Best Paper Award for "Sources of Evidence for Vertical Selection" by Jaime Arguello (Carnegie Mellon University and Yahoo! intern), Fernando Diaz (Yah
Abstract: Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are evolving, leading them to ever redefine their taste. Thus, modeling temporal dynamics should be a key when designing recommender systems or general customer preference models. However, this raises unique challen
When the organizers of the Netflix Prize contest announced late last week that one team had met the requirement for the $1 million Grand Prize, Yehuda Koren, a member of the seven-person multinational team, was in Paris to present a paper at KDD-09, the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. The ideas he laid out won the conference's Best Paper Award — and, not coincide
The 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009) will be held June 28 to July 1 in Paris, France. Yahoo! has earned 12 out of 142 total accepted papers this year and the Best Paper Award for "Collaborative Filtering with Temporal Dynamics" by Yehuda Koren. The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitione
The 18th International World Wide Web Conference (WWW2009) will be held April 20 to 24 in Madrid, Spain. Yahoo! will repeat its stellar technical presence, earning the honor of 14 out of 105 total accepted papers this year – the most from any single organization. The World Wide Web Conference is the global event that brings together key researchers, innovators, decision-makers, technologists, bus
Yahoo! Labs is diligently working on enhancing the conventional notion of caching to make it more effective for contextual advertising systems. The team consists of researchers Andrei Broder, Vanja Josifovski, Ravi Kumar, Sandeep Pandey, Sergei Vassilvitskii and summer intern Flavio Chierichetti. In the classical setting, a cache (which refers to a fast but limited amount of memory) is used to sto
Originally published on techradar.com - March 3, 2009 The proof is in the pudding, as they say. At Yahoo, the pudding is quite murky at present, what with Jerry Yang out as CEO, a disastrous 2008 in terms of stock price and failing to be taken over by Microsoft. Yet, just in the past few weeks, as Carol Bartz took over as CEO, it's as though the dark cloud has lifted. Truth be told, Yahoo has just
Before joining Yahoo! Research, Raghu Ramakrishnan founded an Internet startup called Quiq. The technology was similar to Yahoo! Answers in that website visitors could post questions, and anyone on the planet could answer them. Ramakrishnan found that conventional database technologies could not adequately handle the demands of a hosted Web application like Quiq. When he arrived at Yahoo! in 2006,
Computational advertising is a new scientific sub-discipline, at the intersection of information retrieval, machine learning, optimization, and microeconomics. Its central challenge is to find the best ad to present to a user engaged in a given context, such as querying a search engine ("sponsored search"), reading a web page ("content match"), watching a movie, and IM-ing. Match Game It’s no secr
Cloud computing is becoming an important arena for researchers and developers to test next generation software services, and scalable software and systems is at the heart of providing cloud services via the Internet. At Yahoo!, we are very supportive of academic research in cloud computing that, to date, has been limited due to significant cost barriers in getting large computing systems operation
Hadoop Summit and Data-Intensive Computing Symposium Videos and Slides Hadoop Summit - March 25, 2008 The Hadoop Summit brought together leaders from the Hadoop developer and user communities for the first time. Apache Hadoop, an open-source distributed computing project of the Apache Software Foundation, is a distributed file system and parallel execution environment that enables its users to pro
Search technologies are an international team of experts in search, algorithms, data mining, natural language, and data processing. Together, we build systems and algorithms to analyze user needs, then synthesize and deliver the right responses from data sources around the globe.
The Machine Learning group is a team of experts in computer science, statistics, mathematical optimization, and automatic control. We focus on making computers learn abstractions, patterns, conditional probability distributions, and policies from web scale data with the goal to improve the online experience for Yahoo users, partner publishers, and advertisers.
We are creating infrastructure to support ad-hoc analysis of very large data sets. Parallel processing is the name of the game. Our system runs on a cluster computing architecture, on top of which sit several layers of abstraction that ultimately bring the power of parallel computing into the hands of ordinary users. The layers in between automatically translate user queries into efficient paralle
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