Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
49
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing
"... Mesa is a highly scalable analytic data warehousing system that stores critical measurement data related to Google’s Internet advertising business. Mesa is designed to satisfy a complex and challenging set of user and systems require-ments, including near real-time data ingestion and querya-bility, ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
Mesa is a highly scalable analytic data warehousing system that stores critical measurement data related to Google’s Internet advertising business. Mesa is designed to satisfy a complex and challenging set of user and systems require-ments, including near real-time data ingestion and querya
Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce
"... Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementation Hadoop, has been widely adopted due to its impressive scalability and flexibility to handle structured as well as uns ..."
Abstract
-
Cited by 25 (1 self)
- Add to MetaCart
as unstructured data. In this paper, we describe our data warehouse system, called Cheetah, built on top of MapReduce. Cheetah is designed specifically for our online advertising application to allow various simplifications and custom optimizations. First, we take a fresh look at the data warehouse schema design
PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising
"... T his paper reports on a large-scale implementation of marketing science models to solve the bidding problem in search engine advertising. In cooperation with the online marketing agency SoQuero, we developed a fully automated bidding decision support system, PROSAD (PRofit Optimizing Search engine ..."
Abstract
- Add to MetaCart
T his paper reports on a large-scale implementation of marketing science models to solve the bidding problem in search engine advertising. In cooperation with the online marketing agency SoQuero, we developed a fully automated bidding decision support system, PROSAD (PRofit Optimizing Search
Long-term Goal-Aware Recommender System Exploration Using Twitter Data
"... In everyday life, we keep receiving recommendations from others either by words of mouth, press print, or multi-media such as TV advertising. Nowadays, recommender systems are entering our life online since people depend more and more on computers to solve problems of various kinds. We can come acro ..."
Abstract
- Add to MetaCart
In everyday life, we keep receiving recommendations from others either by words of mouth, press print, or multi-media such as TV advertising. Nowadays, recommender systems are entering our life online since people depend more and more on computers to solve problems of various kinds. We can come
1 Online Analytical Mining of Path Traversal Patterns for Web Measurement
"... ABSTRACT The WWW and its associated distributed information services provide rich world-wide online information services, where objects are linked together to facilitate interactive access. Users seeking information of Internet traverse from one object via links to another. It is important to analyz ..."
Abstract
- Add to MetaCart
the web access log, browsing frequency of web pages and computing the average duration time of visitor. This paper offers an architecture to store the derived web user access paths in a data warehouse, and facilitates its view maintainability by use of a metadata. The system will update the user access
Online Video Promotion with User Specific Information
"... ABSTRACT: There are various ways and methods used in video recommendation which are purely statistical. These would give recommendations to users based on either their previous search or other criteria. These systems set up a large number of context collectors at the terminals. However, the context ..."
Abstract
- Add to MetaCart
environment, a communication service, and the preferred device types such as a mobile phone, personal computer, etc. A content-based recommendations system recommends the most likely matched item, then compares the recommendation list to a user's previous input data or compared to preference items
hardware and mobile web technology Master of Science Thesis in Programme Computer Systems and Networks
, 2013
"... Digitising statistics handling through ..."
Results 1 - 10
of
49
