Ads and the City

•

1 like•1,299 views

The document discusses using geographic distance and other factors to improve venue recommendation systems. It analyzes Foursquare data on venues and users in London to determine which categories of venues users tend to visit locations farther from home. It then develops a probabilistic model to calculate the likelihood a user will visit a venue based on their past likes, proximity, and visit frequency. The model is tested using naive Bayesian, Bayesian, and linear regression approaches. Results show geographic closeness strongly influences recommendations and incorporating domain knowledge significantly improves accuracy over basic collaborative filtering. The discussion notes the importance of understanding one's recommendation domain and how performance depends on venue category characteristics.

Ads and the City:
Considering Geographic Distance Goes a
Long Way

Diego Saez-Trumper1 Daniele Quercia 2 Jon Crowcroft 2

1
Universitat Pompeu Fabra, Barcelona
2
Computer Laboratory, University of Cambridge

Dublin, September, 2012

Category #Venues #Users
food 1,293 1,566
nightlife 1,075 1,207
travel 850 1,744
home/work/etc. 411 1,037
shops 362 878
arts&entertainment 348 841
parks&outdoors 184 363
education 49 117
Total 4,572 3,110
Table: London Foursquare Data

Context

similar to target advertising (?)
domain knowledge in people mobility

On people mobility (from the literature)

distance matters
likes might matter
“power users” are special
p(go|like, close) ∝ pgo · pclose · plike

plike

#venues visited by user u with rating lui
p(like = lui |go) =
total #venues visited by user u

lui is ranking obtained from item-based CF algorithm.

pgo

#venues visited by user u
pgo =
total #venues

pclose

1
pclose = k1 α
dui

Category α
food 1.64
nightlife 1.61
travel (airports/trainstations) 2.22
home/work/etc. 1.62
shops 1.64
arts&entertainment 1.64
parks&outdoors 1.68
education 1.93

High α → travel farther

p(go|like, close) ∝ pgo · pclose · plike

Naive Bayesian
Bayesian
Linear Regression

Results

1.0

p_go
p_close
p_like
0.8

Naive
Bayesian
Linear Reg.
0.6
accuracy

0.4
0.2
0.0

Arts.and.Ent. Education Food HomeWork Nightlife Parks Shops Travel

Discussion

scalability
cold start situation

Final Remarks

results depend on venue category (different α and predictability)
geographic closeness plays a very important role.
domain knowledge signiﬁcantly improves recommendations
results.

“Understanding the speciﬁcs of your domain
is critical to building a good recommender”

Paul Lamere @ recsys’12

Social computing broadly refers to supporting social behaviours using computational systems. In the last decade, the advent of Web 2.0 and its social networking services, wikis, blogs, and social bookmarking has revolutionised social computing, creating new online contexts within which people interact socially (social networking). With the pervasiveness of mobile devices and embedded sensors, we stand at the brink of another major revolution, where the boundary between online and offline social behaviours blurs, providing opportunities for (re)defining social conventions and contexts once again. But opportunities come with challenges: can middleware foster the engineering of social software? We identify three societal grand challenges that are likely to drive future research in social computing and elaborate on how the middleware community can help address them.

Auralist: Introducing Serendipity into Music Recommendation

Daniele Quercia

Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, producing a personalised collection of recommendations that balance between the desired goals of accuracy, diversity, novelty and serendipity. We introduce the Auralist recommendation framework, a system that - in contrast to previous work - attempts to balance and improve all four factors simultaneously. Using a collection of novel algorithms inspired by principles of ‘serendipitous discovery’, we demonstrate a method of successfully injecting serendipity, novelty and diversity into recommendations whilst limiting the impact on accuracy. We evaluate Auralist quantitatively over a broad set of metrics and, with a user study on music recommendation, show that Auralist’s emphasis on serendipity indeed improves user satisfaction.

Personality in Twitter: influentials and popular usersDaniele Quercia

In the mood for being influential

Daniele Quercia

Geomob London September 2011Daniele Quercia

Rethinking Mobile Recommendations

Daniele Quercia

Recommending Social Events from Mobile Phone Location Data A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one deals with such abundance. Mobile phones with positioning technology are now widely available, making it easy for people to broadcast their whereabouts; recommender systems can now identify patterns in people’s movements in order to, for example, recommend events. To do so, the system relies on having mobile users who share their attendance at a large number of social events: cold-start users, who have no location history, cannot receive recommendations. We set out to address the mobile cold-start problem by answering the following research question: how can social events be recommended to a cold-start user based only on his home location? To answer this question, we carry out a study of the relationship between preferences for social events and geography, the first of its kind in a large metropolitan area. We sample location estimations of one million mobile phone users in Greater Boston, combine the sample with social events in the same area, and infer the social events attended by 2,519 residents. Upon this data, we test a variety of algorithms for recommending social events. We find that the most effective algorithm recommends events that are popular among residents of an area. The least effective, instead, recommends events that are geographically close to the area. This last result has interesting implications for location-based services that emphasize recommending nearby events.

FriendSensing

Daniele Quercia

Sybil Attacks Against Mobile Users

Daniele Quercia

Promoting location privacy… one lie at a time

Daniele Quercia

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Product School

Recently uploaded

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Product School

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

The Art of the Pitch: WordPress Relationships and Sales

Laura 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.

PCI PIN Basics Webinar from the Controlcase Team

ControlCase

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

FIDO Alliance

Generating a custom Ruby SDK for your web service or Rails API using Smithy

g2nightmarescribd

Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.

DevOps and Testing slides at DASA Connect

Kari Kakkonen

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

DanBrown980551

Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Product School

How world-class product teams are winning in the AI era by CEO and Founder, P...

Product School

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

Jeffrey Haguewood

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams. Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

The Future of Platform Engineering

Jemma Hussein Allen

Knowledge engineering: from people to machines and back

Elena Simperl

Elevating Tactical DDD Patterns Through Object Calisthenics

Dorra 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!

JMeter webinar - integration with InfluxDB and Grafana

RTTS

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

Recently uploaded (20)

Accelerate your Kubernetes clusters with Varnish Caching

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Essentials of Automations: Optimizing FME Workflows with Parameters

The Art of the Pitch: WordPress Relationships and Sales

PCI PIN Basics Webinar from the Controlcase Team

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

Generating a custom Ruby SDK for your web service or Rails API using Smithy

DevOps and Testing slides at DASA Connect

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

Mission to Decommission: Importance of Decommissioning Products to Increase E...

How world-class product teams are winning in the AI era by CEO and Founder, P...

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

The Future of Platform Engineering

Knowledge engineering: from people to machines and back

Elevating Tactical DDD Patterns Through Object Calisthenics

JMeter webinar - integration with InfluxDB and Grafana

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Ads and the City

1. Ads and the City: Considering Geographic Distance Goes a Long Way Diego Saez-Trumper1 Daniele Quercia 2 Jon Crowcroft 2 1 Universitat Pompeu Fabra, Barcelona 2 Computer Laboratory, University of Cambridge Dublin, September, 2012

2. mobile social-networking sites

3. Category #Venues #Users food 1,293 1,566 nightlife 1,075 1,207 travel 850 1,744 home/work/etc. 411 1,037 shops 362 878 arts&entertainment 348 841 parks&outdoors 184 363 education 49 117 Total 4,572 3,110 Table: London Foursquare Data

4. Given a venue, suggests guests

5. Context similar to target advertising (?) domain knowledge in people mobility

6. On people mobility (from the literature) distance matters likes might matter “power users” are special p(go|like, close) ∝ pgo · pclose · plike

7. plike #venues visited by user u with rating lui p(like = lui |go) = total #venues visited by user u lui is ranking obtained from item-based CF algorithm.

8. pgo #venues visited by user u pgo = total #venues

9. pclose 1 pclose = k1 α dui

10. pclose 1 pclose = k1 α dui

11. pclose 1 pclose = k1 α dui Category α food 1.64 nightlife 1.61 travel (airports/trainstations) 2.22 home/work/etc. 1.62 shops 1.64 arts&entertainment 1.64 parks&outdoors 1.68 education 1.93 High α → travel farther

12. p(go|like, close) ∝ pgo · pclose · plike Naive Bayesian Bayesian Linear Regression

13. Results

14. Results

15. Results

16. Results 1.0 p_go p_close p_like 0.8 Naive Bayesian Linear Reg. 0.6 accuracy 0.4 0.2 0.0 Arts.and.Ent. Education Food HomeWork Nightlife Parks Shops Travel

17. Discussion scalability cold start situation

18. When it does not work

19. When It Does not Work

20. When It Does not Work

21. Final Remarks results depend on venue category (different α and predictability) geographic closeness plays a very important role. domain knowledge signiﬁcantly improves recommendations results.

22. “Understanding the speciﬁcs of your domain is critical to building a good recommender” Paul Lamere @ recsys’12

23. Questions?

Ads and the City

Recommended

Recommended

More Related Content

More from Daniele Quercia

More from Daniele Quercia (20)

Recently uploaded

Recently uploaded (20)

Ads and the City