We present a new “cheap and fast” methodology for measuring the persuasiveness of communication. This methodology allows conducting experiments with thousands of subjects for a few dollars in a few hours, by tweaking and using existing commercial tools for advertising on the web, such as Google AdWords. Further details in: Guerini M., Strapparava C. & Stock O. “Evaluation Metrics for Persuasive NLP with Google AdWords”. In Proceedings of LREC2010.
Public Speaking: Presenting with Power and PassionGilda Bonanno
Presentation Skills are crucial to business and personal success and it is essential that you are able to convey your knowledge and passion to the audience. Professional speaker and presentation skills expert Gilda Bonanno provides tips for projecting a powerful, engaging and persuasive presence while presenting. (from 2010 Project Management Conference)
Public Speaking: Presenting with Power and PassionGilda Bonanno
Presentation Skills are crucial to business and personal success and it is essential that you are able to convey your knowledge and passion to the audience. Professional speaker and presentation skills expert Gilda Bonanno provides tips for projecting a powerful, engaging and persuasive presence while presenting. (from 2010 Project Management Conference)
This particular project is based on ratio analysis of Coca-Cola International. I have analyzed two years financial performance of Coke i.e. from 2011 to 2012. I hope my this effort will help other interested students.
A look at how advertisers use the concepts of logos, ethos, and pathos to persuade audiences. Includes definitions and examples. Videos can be found on YouTube. Ideas can be adapted to debates and persuasion lessons in general.
Creating a social media strategy for a tourism business | Block 1: Basics of ...Francisco Hernandez-Marcos
Creating a social media strategy for a tourism business
Block 1: Basics of online marketing
International Master in Hospitality and Tourism Management
ESCP Europe - Cornell University School of Hotel Administration
In this presentation I will talk about the design of scalable recommender systems and its similarity with advertising systems. The problem of generating and delivering recommendations of content/products to appropriate audiences and ultimately to individual users at scale is largely similar to the matching problem in computational advertising, specially in the context of dealing with self and cross promotional content. In this analogy with online advertising a display opportunity triggers a recommendation. The actors are the publisher (website/medium/app owner) the advertiser (content owner or promoter), whereas the ads or creatives represent the items being recommended that compete for the display opportunity and may have different monetary value to the actors. To effectively control what is recommended to whom, targeting constraints need to be defined over an attribute space, typically grouped by type (Audience, Content, Context, etc.) where some associated values are not known until decisioning time. In addition to constraints, there are business objectives (e.g. delivery quota) defined by the actors. Both constraints and objectives can be encapsulated into and expressed as campaigns. Finally, there there is the concept of relevance, directly related to users' response prediction that is computed using the same attribute space used as signals.
As in advertising, recommendation systems require a serving platform where decisioning happens in real-time (few milliseconds) typically selecting an optimal set of items to display to the user from hundreds, sometimes thousands or millions of items. User actions are then taken as feedback and used to learn models that dynamically adjust order to meet business objectives.
This is a radical departure from the traditional item-based and user-based collaborative filtering approach to recommender systems, which fails to factor-in context, such as time-of-day, geo-location or category of the surrounding content to generate more accurate recommendations. Traditional approaches also fail to recognize that recommendations don't happen in a vacuum and as such may require the evaluation of business constraints and objectives. All this should be considered when designing and developing true commercial recommender/advertising systems.
Speaker Bio
Joaquin A. Delgado is currently Director of Advertising Technology at Intel Media (a wholly owned subsidiary of Intel Corp.), working on disruptive technologies in the Internet T.V. space. Previous to that he held CTO positions at AdBrite, Lending Club and TripleHop Technologies (acquired by Oracle). He was also Director of Engineering and Sr. Architect Principal at Yahoo! His expertise lies on distributed systems, advertising technology, machine learning, recommender systems and search. He holds a Ph.D in computer science and artificial intelligence from Nagoya Institute of Technology, Japan.
Recommender Systems Tutorial (Part 1) -- IntroductionBee-Chung Chen
This is a tutorial given in the International Conference on Machine Learning. The slides consist of four parts. Please look for Part 2, Part 3 and Part 4 to get a complete picture of this technology.
For more information, visit: http://www.wordstream.com
Start the new year right — on top of your competition!
In this webinar, Larry Kim, Founder and CTO of WordStream, and Amanda West-Bookwalter, Account Manager at Hanapin Marketing and writer for PPC Hero, show you the top 10 tips, tools, and tricks to help you gain and maintain PPC success throughout the year. You’ll learn how to:
- Improve your Quality Scores
- Get through to potential customers at the end of the funnel
- Spend less per lead, and more!
This particular project is based on ratio analysis of Coca-Cola International. I have analyzed two years financial performance of Coke i.e. from 2011 to 2012. I hope my this effort will help other interested students.
A look at how advertisers use the concepts of logos, ethos, and pathos to persuade audiences. Includes definitions and examples. Videos can be found on YouTube. Ideas can be adapted to debates and persuasion lessons in general.
Creating a social media strategy for a tourism business | Block 1: Basics of ...Francisco Hernandez-Marcos
Creating a social media strategy for a tourism business
Block 1: Basics of online marketing
International Master in Hospitality and Tourism Management
ESCP Europe - Cornell University School of Hotel Administration
In this presentation I will talk about the design of scalable recommender systems and its similarity with advertising systems. The problem of generating and delivering recommendations of content/products to appropriate audiences and ultimately to individual users at scale is largely similar to the matching problem in computational advertising, specially in the context of dealing with self and cross promotional content. In this analogy with online advertising a display opportunity triggers a recommendation. The actors are the publisher (website/medium/app owner) the advertiser (content owner or promoter), whereas the ads or creatives represent the items being recommended that compete for the display opportunity and may have different monetary value to the actors. To effectively control what is recommended to whom, targeting constraints need to be defined over an attribute space, typically grouped by type (Audience, Content, Context, etc.) where some associated values are not known until decisioning time. In addition to constraints, there are business objectives (e.g. delivery quota) defined by the actors. Both constraints and objectives can be encapsulated into and expressed as campaigns. Finally, there there is the concept of relevance, directly related to users' response prediction that is computed using the same attribute space used as signals.
As in advertising, recommendation systems require a serving platform where decisioning happens in real-time (few milliseconds) typically selecting an optimal set of items to display to the user from hundreds, sometimes thousands or millions of items. User actions are then taken as feedback and used to learn models that dynamically adjust order to meet business objectives.
This is a radical departure from the traditional item-based and user-based collaborative filtering approach to recommender systems, which fails to factor-in context, such as time-of-day, geo-location or category of the surrounding content to generate more accurate recommendations. Traditional approaches also fail to recognize that recommendations don't happen in a vacuum and as such may require the evaluation of business constraints and objectives. All this should be considered when designing and developing true commercial recommender/advertising systems.
Speaker Bio
Joaquin A. Delgado is currently Director of Advertising Technology at Intel Media (a wholly owned subsidiary of Intel Corp.), working on disruptive technologies in the Internet T.V. space. Previous to that he held CTO positions at AdBrite, Lending Club and TripleHop Technologies (acquired by Oracle). He was also Director of Engineering and Sr. Architect Principal at Yahoo! His expertise lies on distributed systems, advertising technology, machine learning, recommender systems and search. He holds a Ph.D in computer science and artificial intelligence from Nagoya Institute of Technology, Japan.
Recommender Systems Tutorial (Part 1) -- IntroductionBee-Chung Chen
This is a tutorial given in the International Conference on Machine Learning. The slides consist of four parts. Please look for Part 2, Part 3 and Part 4 to get a complete picture of this technology.
For more information, visit: http://www.wordstream.com
Start the new year right — on top of your competition!
In this webinar, Larry Kim, Founder and CTO of WordStream, and Amanda West-Bookwalter, Account Manager at Hanapin Marketing and writer for PPC Hero, show you the top 10 tips, tools, and tricks to help you gain and maintain PPC success throughout the year. You’ll learn how to:
- Improve your Quality Scores
- Get through to potential customers at the end of the funnel
- Spend less per lead, and more!
Data Science for Business Managers - An intro to ROI for predictive analyticsAkin Osman Kazakci
This module addresses critical business aspects related to launching a predictive analytics project. How to establish the relationship with business KPIs is discussed. A notion of data hunt, for planning & acquiring external data for better predictions is introduced. Model quality and it's role for ROI of data and prediction tasks are explained. The module is concluded with a glimpse on how collaborative data challenges can improve predictive model quality in no time.
This slide deck covers why primary market research (aka customer development, customer research or customer empathy) is important and necessary, outlines how to organize a successful research program, provides a sampling of common qualitative and quantitative primary market research techniques, and provides an FAQ section on common questions.
Online Marketing. Marketing and E-Commerce subject at the International Master in Industrial Management.
Guest speaker: Francisco Hernández Marcos
Universidad Politécnica de Madrid
Politecnico di Milano
Kungliga Tekniska högskolan
SES Chicago 2010: Andrew Goodman's slide deck from the ADVANCED PAID SEARCH TACTICS session. This session covered campaign expansion techniques, advanced ad testing, advanced auction theory, the proper use of relevant analytics reports, ideas for bid rules and campaign automation including automating the detection of PPC scam campaigns that can divert traffic away from the legitimate brand site and increase campaign costs.
Similar to Persuasive Message Evaluation with Google AdWords (20)
Naturalness is fundamental for creating conversational agents that are truly smart and can integrate seamlessly into the lives of human beings. To this end they must be endowed with a Persona.
CONAN: a Multilingual Dataset of Responses to Fight Hate SpeechMarco Guerini
Although there is an unprecedented effort to provide adequate responses in terms of laws and policies to hate content on social media platforms, dealing with hatred online is still a tough problem. Tackling hate speech in the standard way of content deletion or user suspension may be charged with censorship and overblocking. One alternate strategy, that has received little attention so far by the research community, is to actually oppose hate content with counter-narratives (i.e. informed textual responses). In this presentation, we describe the creation of the first large-scale, multilingual, expert-based dataset of hate speech/counter-narrative pairs. This dataset has been built with the effort of more than 100 operators from three different NGOs that applied their training and expertise to the task. Together with the collected data we also provide additional annotations about expert demographics, hate and response type, and data augmentation through translation and paraphrasing. Finally, we provide initial experiments to assess the quality of our data.
Exploring Image Virality in Google PlusMarco Guerini
Reactions to posts in an online social network show different dynamics depending on several textual features of the corresponding content. Do similar dynamics exist when images are posted? Exploiting a novel dataset of posts, gathered from the most popular Google+ users, we try to give an answer to such a question. We describe several virality phenomena that emerge when taking into account visual characteristics of images (such as orientation, mean saturation, etc.). We also provide hypotheses and potential explanations for the dynamics behind them, and include cases for which common-sense expectations do not hold true in our experiments.
By analyzing social and linguistic dynamics in big corpora, we want to understand how to build consensus and promote spreading of information within a given context.
Analisi Web con gli Strumenti di GoogleMarco Guerini
Una breve descrizione della suite di strumenti gratuiti che Google fornisce per monitorare tutto ciò che accade in rete attorno alla tua azienda.
Questi strumenti sono facili da imparare, rapidi da usare e potenti.
Questi strumenti sono utili anche abbinati a strategie di promozione di molteplici tipi.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
3. Problems
• Evaluating systems and theories about persuasion is a
bottleneck: expensive and time consuming experiments.
designing the experiment, inventing cover stories,
recruiting a sufficient number of subjects, making
them take part to the experiment, dispense
questionnaire (pre-post), gather data, analyze them.
• In lab settings results are biased by subjects awareness
of being tested.
3
4. Crowdsourcing - Mechanical Turk?
Mechanical Turk used for behavioral studies
(Mason and Suri, 2010) to overcome part of
these limitations - like subject recruitment.
We believe that it is not the right instrument
to assess behavioral changes, and, more
generally, persuasive effects…
4
5. Requirements
1. Studies as ecological as possible (real,
even if controlled, scenarios).
2. Subjects must not be aware of being under
observation.
3. Subjects must not be biased by external
rewards.
5
7. Guerini M., Strapparava C. & Stock O. “Evaluation Metrics for
Persuasive NLP with Google AdWords”. In Proceedings of
LREC2010, May 2010.
Proposed Approach
7
8. Approach
• Goal: develop “cheap and fast” methodologies to
measure the persuasiveness of communication.
• Solution: tweaking and using existing commercial tools
for advertising on the web, such as Google AdWords.
!
Conducting field experiments with thousands
of subjects for a few dollars in a few hours
8
9. Adwords Description
• Google AdWords is Google advertising
program. It lets advertisers display their ads
only to relevant audiences by means of
keyword-based contextualization on the
Google network, divided into:
• Search network: Google search pages,
search sites etc.
• Content network: news pages, topic specific
websites, blogs and other
9
11. AdWords Metrics
Identifying the performance (persuasiveness) of
each ad from various perspectives:
• CTR: the number of clicks divided by the number of times
an ad has been displayed. Indicates the initial impact.
• Web Analytics: insights on landing site: number of visited
pages, time spent on the site, etc. Indicates interest/
attitude generated.
• Conversion Rate: how many user turned into conversions
(e.g. buying a product, download a brochure). Indicates
message complete success.
• ROI: The more relevant (from a research pov) the action
the user performs, the higher the value.
11
12. AdWords Targeting
Targeting options for different evaluation
scenarios:
• Language message impact in different
languages.
• Location message impact in different cultures
sharing the same language.
• Keyword matching message impact with
users having different interests.
• Placements message impact on people with
different values –democrats/republican sites.
12
13. AdWords Tuning
To facilitate statistically meaningful exp. (subj
randomness, etc.) some tuning needed:
• Ad serving (optimize vs rotate)
• Ad delivery (standard vs. accelerated)
• …
No longer necessary.
Since our first experiments some proposal have
been implemented in AdWords, under the tool
AdWords Campaign Experiments (ACE)
13
15. Experimental Setup
• Pilot experiments to test irony, using a real
promotion campaign.
• Experiments based on a between-subject
design with two conditions, one ad for
each condition:
• Control condition, with a neutral message.
• Experimental condition with ironical message.
• χ2 test used on CTR.
15
16. Experimental Design
Two experiments with text based ads on the
search network (promoting a book).
Two experiments with img
based ads on the content
network (promoting the
book series).
16
17. Stimuli Material
• “Diversamente Occupati” (tr. “differently
employed”) mocks the Italian “diversamente
abile” (tr. “differently able”), a politically
correct word for handicapped persons.
• “Diversamente Occupati” ironically refers to
temporary employed (i.e. “differently
employed”) people, generally considered a
less than ideal state of employment.
17
18. Dura%on
Cost
Subjects
24
h
1,2
€
-‐
CPC
0,04
€
~
3.000
Dura%on
Cost
Subjects
24
h
1,5
€
-‐
CPC
0,04
€
~
4.000
Experiments with
text based ads
Context: Keyword “Precario”
18
19. Results
1st Experiment - CTR (1A) = 1,7% CTR (1B) = 0,5%
• Test significant condition 1A “Sei Precario?” (tr. “Are you
temporarily employed?”) performs three times better than 1B “Sei
Diversamenteoccupato?”.
• Possible bias: given keyword matching the word “Precario” in condition
1A is automatically highlighted by Google.
2nd Experiment - CTR (2A) = 1,2% CTR (2B) = 0,8%
• Test not significant first experiment biased by highlighting.
• 2B “Sei DiversamenteOccupato?” outperformed other conditions (1A,
1B, 2A) w.r.t. permanence of users on landing site (~3 min vs ~1 min).
• Capitalizing letter “O” in “DiversamenteOccupati” helped users spelling
the word and get the irony - that induced more interest in the subjects.
19
20. Dura%on
Cost
Subjects
12
h
7
€
-‐
CPC
0,60
€
~
4.200
Dura%on
Cost
Subjects
1
week
2
€
-‐
CPC
0,20
€
~
12.000
Experiments with
image based ads
Context 1: a site of job offers
Context 2: the whole network
20
21. Results
3rd Experiment - CTR (C1) = 0,5% CTR (C2) = 0,1%
• Test significant, condition C1 performs five times better than C2.
• Should we conclude that the img has a negative impact on the
message?
4th Experiment - CTR (C1) = 0,16% CTR (C2) = 0,08%
• Test not significant In the previous experiment the img did not
have a negative impact by itself, rather it had a “positive” impact
in cutting uninterested users, by helping them in “disambiguating”
the message (users were looking for a job, not for amusement).
21
22. Conclusion
• AdWords is an appropriate context for
evaluating persuasive messages.
• AdWords proved to be very accurate,
flexible and fast, far exceeding our
expectations.
• The ACE tool bring us a step further.
22
23. Further details in:
Guerini M., Strapparava C. & Stock O. “Evaluation Metrics
for Persuasive NLP with Google AdWords”. In Proceedings
of LREC2010.
23