| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Beck, Alexander. | Google AdWords : [effektiver Aufbau Ihrer Kampagnen und Anzeigengruppen ; erfolgreiche Keywords, Anzeigentexte und Landing Pages ; Conversion-Tracking, Return on Investment, Auswertung und Optimierung Ihrer Kampagnen] [BibTeX] |
2008 | Heidelberg | book | URL |
BibTeX:
@book{beck2008,
author = {Alexander Beck},
title = {Google AdWords : [effektiver Aufbau Ihrer Kampagnen und Anzeigengruppen ; erfolgreiche Keywords, Anzeigentexte und Landing Pages ; Conversion-Tracking, Return on Investment, Auswertung und Optimierung Ihrer Kampagnen]},
year = {2008},
edition = {1. Aufl.},
url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+547637632&sourceid=fbw_bibsonomy}
}
|
|||||
| Dean, J. & Ghemawat, S. | MapReduce: Simplified Data Processing on Large Clusters | 2008 | Communications of the ACM Vol. 51(1), pp. 107-113 |
article | URL |
| Abstract: MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable to a broad variety of real-world tasks. Users specify the computation in terms of a map and a reduce function, and the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks. Programmers find the system easy to use: more than ten thousand distinct MapReduce programs have been implemented internally at Google over the past four years, and an average of one hundred thousand MapReduce jobs are executed on Google's clusters every day, processing a total of more than twenty petabytes of data per day. | |||||
BibTeX:
@article{DeanGhemawat08cacm,
author = {Jeffrey Dean and Sanjay Ghemawat},
title = {MapReduce: Simplified Data Processing on Large Clusters},
journal = {Communications of the ACM},
year = {2008},
volume = {51},
number = {1},
pages = {107-113},
url = {http://dx.doi.org/10.1145/1327452.1327492}
}
|
|||||
| Genkina, A. & Camp, L.J. | Re-Embedding Existing Social Networks into Online Experiences to Aid in Trust Assessment | 2005 | techreport | URL | |
| Abstract: Net Trust is a system that embeds social context in web-based trust decisions by combining individual histories, social networks, and explicit ratings. The social context embedded in Net Trust allows an individual to select their own trusted sources of information and rate particular sites as trustworthy (or not). The system as proposed leverages pre-existing social networks to explicitly embed social and organizational context in the virtual realm. Net Trust allows an individual to select their own trusted sources of information from a market of ratings agencies and combine that with their individual social network. Social networks are needed to undermine the efficacy of social engineering. The design is informed by previous work in reputation systems, interaction design, social networks, social browsing, computer security, and peer production of knowledge. | |||||
BibTeX:
@techreport{ieKey,
author = {Alla Genkina and L. Jean Camp},
title = {Re-Embedding Existing Social Networks into Online Experiences to Aid in Trust Assessment},
year = {2005},
url = {http://papers.ssrn.com/sol3/papers.cfm?abstract_id=707139}
}
|
|||||
| Kamvar, M. & Baluja, S. | A large scale study of wireless search behavior: Google mobile search [BibTeX] |
2006 | CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pp. 701-709 | inproceedings | DOI |
BibTeX:
@inproceedings{Kamvar-Google,
author = {Maryam Kamvar and Shumeet Baluja},
title = {A large scale study of wireless search behavior: Google mobile search},
booktitle = {CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems},
publisher = {ACM Press},
year = {2006},
pages = {701--709},
doi = {http://doi.acm.org/10.1145/1124772.1124877}
}
|
|||||
| Mickleburgh, R. | A Few Trips Decades ago put an End to this One [BibTeX] |
2007 | The Globe and Mail | article | URL |
BibTeX:
@article{Mick_2007,
author = {Rod Mickleburgh},
title = {A Few Trips Decades ago put an End to this One},
journal = {The Globe and Mail},
year = {2007},
url = {http://www.theglobeandmail.com/servlet/story/LAC.20070425.BCLSD25/TPStory/National}
}
|
|||||
| Morrison, P.J. | Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web | 2008 | Information Processing & Management Vol. 44(4), pp. 1562-1579 |
article | URL |
| Abstract: Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance. | |||||
BibTeX:
@article{keyhere,
author = {P. Jason Morrison},
title = {Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web},
journal = {Information Processing & Management},
year = {2008},
volume = {44},
number = {4},
pages = {1562--1579},
note = {folksonomy research},
url = {http://www.sciencedirect.com/science/article/B6VC8-4S035FV-1/2/88dd3b7722dc8ec29277b98aaacee59c}
}
|
|||||
| OâRourke, J., Harris, B. & Ogilvy, A. | âGoogle in China: government censorship and corporate reputation [BibTeX] |
2007 | Journal of Business Strategy Vol. 28(3), pp. 12-22 |
article | |
BibTeX:
@article{OaRourkeEtAl2007aGoogle,
author = {JS OâRourke and B. Harris and A. Ogilvy},
title = {âGoogle in China: government censorship and corporate reputation},
journal = {Journal of Business Strategy},
year = {2007},
volume = {28},
number = {3},
pages = {12--22}
}
|
|||||
| Papendick, Wolfgang. | Prozessoptimierung im Stückgutumschlag : von der Planung bis zum Controlling [BibTeX] |
2005 | Hamburg | book | URL |
BibTeX:
@book{papendick2005,
author = {Wolfgang Papendick},
title = {Prozessoptimierung im Stückgutumschlag : von der Planung bis zum Controlling},
year = {2005},
edition = {Ausg. 2005},
url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+504729292&sourceid=fbw_bibsonomy}
}
|
|||||
| Salter, C., Borden, M., Sacks, D., McGirt, E., Fishman, C., Breen, B., Chu, J., Dean, J., Fannin, R., Feldman, A., Hochman, P., Kushner, D., Lacter, M., Levine, R., Lidsky, D., Svoboda, E. & Tischler, L. | GOOGLE : The FACES and VOICES of the world's most innovative company. | 20080301 | Fast Company(123), pp. p74 - 91 | article | URL |
| Abstract: The article reports on the Internet company Google Inc. Google's headquarters are in Mountain View, California and it has evolved to employ over 16,000 people and gross $14 billion annually. Google employees are encouraged to have big ideas, instilled with creative fearlessness, and go through a hiring process where they can talk to as many as 20 different interviewers. Innovation and research is a part of every job in Google because they work with data. Employees' ideas are put into work almost immediately and then consistently improved in response to data. | |||||
BibTeX:
@article{2995944420080301,
author = {Chuck Salter and Mark Borden and Danielle Sacks and Ellen McGirt and Charles Fishman and Bill Breen and Jeff Chu and Josh Dean and Rebecca Fannin and Amy Feldman and Paul Hochman and David Kushner and Mark Lacter and Robert Levine and David Lidsky and Elizabeth Svoboda and Linda Tischler},
title = {GOOGLE : The FACES and VOICES of the world's most innovative company.},
journal = {Fast Company},
year = {20080301},
number = {123},
pages = {p74 - 91},
url = {http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=29959444&site=ehost-live}
}
|
|||||
| Vincent, L. | Taking Online Maps Down to Street Level | 2007 | Computer Vol. 40(12), pp. 118-120 |
article | URL |
| Abstract: StreetView enables simple navigation between street-level images without losing the map concept. | |||||
BibTeX:
@article{Vincent07IEEEcomputer,
author = {Luc Vincent},
title = {Taking Online Maps Down to Street Level},
journal = {Computer},
year = {2007},
volume = {40},
number = {12},
pages = {118-120},
url = {http://dx.doi.org/10.1109/MC.2007.442}
}
|
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Created by JabRef on 30/08/2008.