In 2014, infrastructure components such as Hadoop, Berkeley Data Stack and other commercial tools have stabilized and are thriving. The challenges have moved higher up the stack from data collection and storage to data analysis and its presentation to users. The focus for this year’s conference on analytics – the infrastructure that powers analytics and how analytics is done.
Talks will cover various forms of analytics including real-time and opportunity analytics, and technologies and models used for analyzing data.
Proposals will be reviewed using 5 criteria:
Domain diversity – proposals will be selected from different domains – medical, insurance, banking, online transactions, retail. If there is more than one proposal from a domain, the one which meets the editorial criteria will be chosen.
Novelty – what has been done beyond the obvious.
Insights – what insights does the proposal share with the audience that they did not know earlier.
Practical versus theoretical – we are looking for applied knowledge. If the proposal covers material that can be looked up online, it will not be considered.
Conceptual versus tools-centric – tell us why, not how. Tell the audience what was the philosophy underlying your use of an application, not how an application was used.
Presentation skills – proposer’s presentation skills will be reviewed carefully and assistance provided to ensure that the material is communicated in the most precise and effective manner to the audience.
Tickets: http://fifthel.doattend.com
Website: https://fifthelephant.in/2014
For queries about proposals / submissions, write to info@hasgeek.com
Theme
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Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.
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Data Storage, Caching and Management – Distributed storage (such as Gluster, HDFS) or hardware-specific (such as SSD or memory) or databases (Postgresql, MySQL, Infobright) or caching/storage (Memcache, Cassandra, Redis, etc).
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Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.
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Real-time analytics
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Opportunity analytics
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Big data and security
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Big data and internet of things
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Data Usage and BI (Business Intelligence) in different sectors.
Please note: the technology stacks mentioned above indicate latest technologies that will be of interest to the community. Talks should not be on the technologies per se, but how these have been used and implemented in various sectors, enterprises and contexts.
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The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
AS
Ambuj Singh
@ambujs
Real Time User-Scoring for Bidding in Display Retargeting
Submitted Jul 3, 2014
Section:
Crisp talk
Technical level:
Beginner
Retargeting online customers to a retail website via Display Ads has become an incredible avenue to drive traffic back to the website. Especially with the advent of Real Time Bidding (RTB), advertisers now have access to an efficient and transparent mechanism to buy from this huge volume of available ad inventory. It allows an advertiser to optimize their ad spend down to the exact user they are targeting in real time, show visual ads personalized based on the user’s tastes, and strive for a desired Cost per Click / Impression / Conversion goal. In this session, we would like to discuss the various approaches we have tried to model each Walmart user that visits walmart.com, and target the user via Display Ads.
Outline
To participate in an auction, we must come up with a dollar value that we are ready to bid for each user. To do this, we analyze the site-activity of the users in real-time, along with any meta-data we may have. In this session, we walk through how we have broken this problem into smaller pieces, and through optimizations based on CTR, conversion probability and expected revenue, our campaigns are designed towards achieving business goals measured in terms of achieved Return Over Ad Spend (ROAS). We also handle ad-serving, and deciding items to recommend in the ad units, in case of bids won.
Speaker bio
I, Ambuj Singh, graduated in Computer Science from IIT Kanpur in 2012. Since then, I have been working in @WalmartLabs, first in the twitter analysis team, and currently in the Display Ads team.
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Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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