Pumpkin-Pie Solution

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Slide @RecSys 2016 to show the simple models used in the ACM RecSys Challenge 2106 organised by XING that grant the 4th position

Data & Analytics

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Team Pumpkin-Pie
T. Carpi
M. Edemanti
E. Kamberoski
E. Sacchi
R. Pagano
P. Cremonesi
M. Quadrana

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Outline
• Collaborative Filtering
• Content-Based
• Interactions and Impressions
• Multi-Stack Ensemble
• Linear Ensemble
• Evaluation Score Ensemble
• Conclusions

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Collaborative-Filtering
IDF value as a rate for the job

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Collaborative-Filtering
User-based

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Collaborative-Filtering
Item-based

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Content-Based
Concept-based
IDF value as a weight for the tag

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Content-Based
Concept-based joint User-Item similarity

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Interactions & Impressions
Click
ReplyBookmark
Already clicked jobs are likely to
be clicked again

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Interactions & Impressions
A B C D E F
B C DA
B D AC
Dataset
Filtering-step
Reordering-step

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Multi-Stack Ensemble
Past
Interactions
Ens CF
Past
Impressions
UBCF  
IntInt
UBCF
IntImp
UBCF
ImpImp
UBCF
ImpInt
IBCF  
IntInt
IBCF
ImpImp
CBJUIS CBIS
Baseline
Ens  
CF+CB
Ens CB
Final
Ensemble

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Multi-Stack Ensemble
Ens CF
UBCF  
IntInt
UBCF
IntImp
UBCF
ImpImp
UBCF
ImpInt
IBCF  
IntInt
IBCF
ImpImp
CBJUIS CBIS
Ens CB
Stack Level 1

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Linear Ensemble
weight for algorithm a
rank of item i in algorithm a
decay for algorithm a

Politecnico di Milano Team Pumpkin-Pie09-15-2016
red 1.9990
pink 1.9980
yellow 1.9970
blue 1.9960
green 1.9985
orange 1.9970
purple 1.9955
red 1.9940
Algorithm A
Weight 2
Decay 0.001
Algorithm B
Weight 2
Decay 0.0015
Linear Ensemble
1
2
3
4
1
2
3
4

Politecnico di Milano Team Pumpkin-Pie09-15-2016
pink 1.9980
yellow 1.9970
blue 1.9960
green 1.9985
orange 1.9970
purple 1.9955
Algorithm A
Weight 2
Decay 0.001
Algorithm B
Weight 2
Decay 0.0015
Linear Ensemble
red 3.9930

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Linear Ensemble
Past
Interactions
Ens CF
Past
Impressions
UBCF  
IntInt
UBCF
IntImp
UBCF
ImpImp
UBCF
ImpInt
IBCF  
IntInt
IBCF
ImpImp
CBJUIS CBIS
Baseline
Ens  
CF+CB
Ens CB
Final
Ensemble

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Evaluation-Score Ensemble
leaderbord score
# of elements

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Evaluation-Score Ensemble
red 7.5660
pink 7.5660
purple 5.5660
orange 5.5660
yellow 9.4575
green 9.4575
blue 6.9575
grey 6.9575
Algorithm A
l_a 200k
n_a 1 Mln
Weight 0.2
Algorithm B
l_b 200k
n_b 800k
Weight 0.25

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Evaluation-Score Ensemble
Past
Interactions
Ens CF
Past
Impressions
UBCF  
IntInt
UBCF
IntImp
UBCF
ImpImp
UBCF
ImpInt
IBCF  
IntInt
IBCF
ImpImp
CBJUIS CBIS
Baseline
Ens  
CF+CB
Ens CB
Final
Ensemble

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Conclusions
Competition promotes the algorithms that learn
which are the best items among the ones
recommended by the Xing platform

Politecnico di Milano Team Pumpkin-Pie09-15-2016
Conclusions
Multi-Stack Ensemble
4th Place
Team Pumpkin-Pie

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A report by thenetworkone and Kurio. The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).

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The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands. It’s important that you’re ready to implement new strategies in 2024. Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024. You’ll learn: - The latest trends in AI and automation, and what this means for an evolving paid search ecosystem. - New developments in privacy and data regulation. - Emerging ad formats that are expected to make an impact next year. Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape. If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.

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From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world. With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively. The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage. Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience. See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers See the original article on Forbes here: http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b

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Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world. Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance. For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age. Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.

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During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59 Key takeaways: • Learn how to use ChatGPT to add AI power to your testing and test automation • Understand the limitations of the technology and where human expertise is crucial • Gain insight into different AI-based tools • Adopt AI-based tools to stay relevant and optimize work for developers and testers * ChatGPT and OpenAI belong to OpenAI, L.L.C.

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Has your project been caught in a storm of deadlines, clashing requirements, and the need to change course halfway through? If yes, then check out how the administration team navigated through all of this, relocating 160 people from 3 countries and opening 2 offices during the most turbulent time in the last 20 years. Belka Games’ Chief Administrative Officer, Katerina Rudko, will share universal approaches and life hacks that can help your project survive unstable periods when there seem to be too many tasks and a lack of time and people.

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According to the latest State of the American Manager report from Gallup, employees who have regular meetings with their managers are almost three times as likely to be engaged as those who don’t. These regular check-ins keep managers and employees in sync and aligned. Want to see better manager/employee relationships in your organisation? Then make an all-in commitment to 1:1 meetings. Not sure how? You’ve come to the right place. In this webinar with Jamie Resker, Founder and Practice Leader for Employee Performance Solutions (EPS), and Teala Wilson, Talent Management Consultant at Saba Software, you’ll get the inside track on how to hold effective 1:1 meetings, including tips for getting managers on board. • Go beyond discussing the status of everyday work to higher level topics, including recognition, performance, development, and career aspirations • Learn how to decide meeting frequency, what to cover, as well as roles and responsibilities of the manager and employee • Understand how managers can build trust and make it comfortable for employees to provide upward feedback • Unite your organisation with a unified approach to 1:1 meetings Join us for this 1-hour webinar to get practical tips for building better manager-employee relationships with intention and purpose. About the Speakers Jamie Resker - Founder and Practice Leader for Employee Performance Solutions (EPS) Jamie Resker, Practice Leader and Founder of Employee Performance Solutions, is a recognized innovator in performance management. She is the originator of the-the Performance Continuum Feedback Method® and Conversations to Optimize Employee Performance training program; tools and training that reshape communications between managers and employees to drive and align performance. Jamie is on the faculty for the Northeast Human Resources Association, is a contributor to Halogen Software's Talent Space Blog, and is an editorial advisory board member for HR Examiner. Teala Wilson - Senior Consultant, Strategic Services, Saba Software Teala is a Talent Management Consultant at Halogen Software, now a part of Saba Software. She has worked with teams on a national and global level supporting human resources in areas such as performance management, recruitment, employee benefit programs, training and talent development, workforce planning and internal communications. Teala also has a personal passion for visual arts and design. Want to learn more? Join us for an upcoming Product Tour! http://bit.ly/2yitfqu

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Pumpkin-Pie Solution

1. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Team Pumpkin-Pie T. Carpi M. Edemanti E. Kamberoski E. Sacchi R. Pagano P. Cremonesi M. Quadrana

2. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Outline • Collaborative Filtering • Content-Based • Interactions and Impressions • Multi-Stack Ensemble • Linear Ensemble • Evaluation Score Ensemble • Conclusions

3. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Collaborative-Filtering IDF value as a rate for the job

4. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Collaborative-Filtering User-based

5. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Collaborative-Filtering Item-based

6. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Content-Based Concept-based IDF value as a weight for the tag

7. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Content-Based Concept-based joint User-Item similarity

8. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Interactions & Impressions Click ReplyBookmark Already clicked jobs are likely to be clicked again

9. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Interactions & Impressions A B C D E F B C DA B D AC Dataset Filtering-step Reordering-step

10. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Multi-Stack Ensemble Past Interactions Ens CF Past Impressions UBCF   IntInt UBCF IntImp UBCF ImpImp UBCF ImpInt IBCF   IntInt IBCF ImpImp CBJUIS CBIS Baseline Ens   CF+CB Ens CB Final Ensemble

11. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Multi-Stack Ensemble Ens CF UBCF   IntInt UBCF IntImp UBCF ImpImp UBCF ImpInt IBCF   IntInt IBCF ImpImp CBJUIS CBIS Ens CB Stack Level 1

12. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Multi-Stack Ensemble Ens CF UBCF   IntInt UBCF IntImp UBCF ImpImp UBCF ImpInt IBCF   IntInt IBCF ImpImp CBJUIS CBIS Ens   CF+CB Ens CB Stack Level 2

13. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Multi-Stack Ensemble Past Interactions Ens CF Past Impressions UBCF   IntInt UBCF IntImp UBCF ImpImp UBCF ImpInt IBCF   IntInt IBCF ImpImp CBJUIS CBIS Baseline Ens   CF+CB Ens CB Final Ensemble Stack Level 3

14. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Linear Ensemble weight for algorithm a rank of item i in algorithm a decay for algorithm a

15. Politecnico di Milano Team Pumpkin-Pie09-15-2016 red 1.9990 pink 1.9980 yellow 1.9970 blue 1.9960 green 1.9985 orange 1.9970 purple 1.9955 red 1.9940 Algorithm A Weight 2 Decay 0.001 Algorithm B Weight 2 Decay 0.0015 Linear Ensemble 1 2 3 4 1 2 3 4

16. Politecnico di Milano Team Pumpkin-Pie09-15-2016 pink 1.9980 yellow 1.9970 blue 1.9960 green 1.9985 orange 1.9970 purple 1.9955 Algorithm A Weight 2 Decay 0.001 Algorithm B Weight 2 Decay 0.0015 Linear Ensemble red 3.9930

17. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Linear Ensemble Past Interactions Ens CF Past Impressions UBCF   IntInt UBCF IntImp UBCF ImpImp UBCF ImpInt IBCF   IntInt IBCF ImpImp CBJUIS CBIS Baseline Ens   CF+CB Ens CB Final Ensemble

18. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Evaluation-Score Ensemble leaderbord score # of elements

19. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Evaluation-Score Ensemble red 7.5660 pink 7.5660 purple 5.5660 orange 5.5660 yellow 9.4575 green 9.4575 blue 6.9575 grey 6.9575 Algorithm A l_a 200k n_a 1 Mln Weight 0.2 Algorithm B l_b 200k n_b 800k Weight 0.25

20. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Evaluation-Score Ensemble red 7.5660 pink 7.5660 purple 5.5660 orange 5.5660 yellow 9.4575 green 9.4575 blue 6.9575 grey 6.9575 Algorithm A l_a 200k n_a 1 Mln Weight 0.2 Algorithm B l_b 200k n_b 800k Weight 0.25

21. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Evaluation-Score Ensemble Past Interactions Ens CF Past Impressions UBCF   IntInt UBCF IntImp UBCF ImpImp UBCF ImpInt IBCF   IntInt IBCF ImpImp CBJUIS CBIS Baseline Ens   CF+CB Ens CB Final Ensemble

22. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Conclusions Competition promotes the algorithms that learn which are the best items among the ones recommended by the Xing platform

23. Politecnico di Milano Team Pumpkin-Pie09-15-2016 Conclusions Multi-Stack Ensemble 4th Place Team Pumpkin-Pie

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