It's all About the Data

It's all about the Data... ,[object Object],[object Object],[object Object],[object Object]

But first... About Telefonica and Telefonica R&D

About 71,000 professionals About 257,000 professionals Staff Services Finances Rev: 4,273 M€ EPS(1): 0.45 € Integrated ICT solutions for all customers Clients About 12 million subscribers About 260 million customers Basic telephone and data services 1989 Spain Operations in 25 countries Geographies Rev: 57,946 M€ EPS: 1.63 € 2000 2008 About 149,000 professionals About 68 million customers Wireline and mobile voice, data and Internet services (1) EPS: Earnings per share Rev: 28,485 M€ EPS(1): 0.67 € Operations in 16 countries Telefonica is a fast-growing Telecom

Telco sector worldwide ranking by market cap (US$ bn) Currently among the largest in the world Source: Bloomberg, 06/12/09

Argentina: 20.9 million Brazil: 61.4 million Central America: 6.1 million Colombia: 12.6 million Chile: 10.1 million Ecuador: 3.3 million Mexico: 15.7 million Peru: 15.2 million Uruguay: 1.5 million Venezuela: 12.0 million ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Notes: - Central America includes Guatemala, Panama, El Salvador and Nicaragua - Total accesses figure includes Narrowband Internet accesses of Terra Brasil and Terra Colombia, and Broadband Internet accesses of Terra Brasil, Telefónica de Argentina, Terra Guatemala and Terra México. Data as of March ‘09 Total Accesses (as of March ‘09) 159.5 million Leader in South America Wireline market rank Mobile market rank

Spain: 47.2 million UK: 20.8 million Germany : 16.0 million Ireland : 1.7 million Czech Republic : 7.7 million Slovakia : 0.4 million ,[object Object],[object Object],[object Object],Wireline market rank Mobile market rank ,[object Object],Data as of March ‘09 And a significant footprint in Europe Total Accesses (as of March ’09) 93.8 million ,[object Object],[object Object],[object Object],[object Object]

Telefonica R&D (TID) is the Research and Development Unit of the Telefónica Group MISSION “ To contribute to the improvement of the Telefónica Group’s competitivness through technological innovation” ,[object Object],[object Object],[object Object],[object Object],Telefónica was in 2008 the first Spanish company by R&D Investment and the third in the EU Products / Services / Processes development Technological Innovation (1) R&D 594 M€ 4.384 M€ Applied research R&D 61 M€

TID Scientific Groups: Publications, Patents, TechTransfer TI+D Scientific Groups Pablo Rodriguez Internet Scientific Director Nuria Oliver Multimedia Scientific Director Data Mining and User Modeling Acting Scientific Director

Internet Scientific Areas Content Distribution and P2P Next generation Managed P2P-TV Future Internet: Content Networking Delay Tolerant Bulk Distribution Network Transparency Social Networks Information Propagation Social Search Engines Infrastructure for Social based cloud computing Wireless and Mobile Systems Wireless bundling Device2Device Content Distribution Large Scale mobile data analysis

Multimedia Scientific Areas Multimedia Core Multimedia Data Analysis, Search & Retrieval Video, Audio, Image, Music, Text, Sensor Data Understanding, Summarization, Visualization Mobile and Ubicomp Context Awareness Urban Computing Mobile Multimedia & Search Wearable Physiological Monitoring HCC Multimodal User Interfaces Expression, Gesture, Emotion Recognition Personalization & Recommendation Systems Super Telepresence

Data Mining & User Modeling Areas DATA MINING ,[object Object],[object Object],[object Object],USER MODELING ,[object Object],[object Object],[object Object],SOCIAL NETWORK ANALYSYS & BUSINESS INT. ,[object Object],[object Object],[object Object]

I like it... I like it not ,[object Object],[object Object],[object Object],[object Object]

Recommender Systems are everywhere ,[object Object],[object Object],[object Object],[object Object]

The Netflix Prize ,[object Object],[object Object],[object Object],[object Object]

But, is there a limit to RS accuracy? ,[object Object]

The Magic Barrier ,[object Object],[object Object],[object Object],[object Object],[object Object]

Our related research questions ,[object Object],[object Object],[object Object]

Experimental Setup (I) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Experimental Setup (II) ,[object Object],[object Object],[object Object],[object Object],[object Object]

Comparison to Netflix Data ,[object Object]

Test-retest Stability and Reliability ,[object Object],[object Object],[object Object],[object Object]

Analysis of User Inconsistencies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Impacting Variables (I) ,[object Object],[object Object],[object Object],[object Object],[object Object]

Impacting Variables (II) ,[object Object],[object Object],[object Object],[object Object]

Impacting Variables (and III) ,[object Object],[object Object],[object Object],[object Object]

Long-term Errors and Stability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Conclusions ,[object Object],[object Object],[object Object],[object Object]

Different proposals ,[object Object],[object Object],[object Object],[object Object],[object Object]

The Wisdom of the Few ,[object Object],[object Object],[object Object],[object Object],[object Object]

First, a little quiz ,[object Object],“ It is really only experts who can reliably account for their reactions”

Crowds are not always wise ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Overview of the Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Advantages of the Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Take home message ,[object Object],[object Object],[object Object],[object Object]

User Study ,[object Object],[object Object],[object Object]

User Study ,[object Object],[object Object]

Expert Collaborative Filtering

Expert-based CF ,[object Object],[object Object],[object Object],[object Object],[object Object]

Mining the Web for Expert Ratings ,[object Object],[object Object]

Dataset Analysis (# ratings) ,[object Object],[object Object],[object Object]

Dataset Analysis ( average) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Dataset Analysis (std) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Dataset Analysis. Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Evaluation Procedure ,[object Object],[object Object],[object Object],[object Object]

Results. Prediction MAE ,[object Object],[object Object],[object Object]

Role of Thresholds ,[object Object],[object Object],[object Object],[object Object],[object Object]

Comparison to standard CF ,[object Object],[object Object]

Results2. Top-N Precision ,[object Object],[object Object]

Conclusions ,[object Object],[object Object],[object Object]

Future/Curent Work ,[object Object]

Adaptive Data Sources Collaborative Filtering With Adaptive Information Sources (ITWP @ IJCAI) With Neal Lathia UCL (London)

Adaptive data sources user modeling experts? friends? like-minded? similarity trust reputation

Adaptive Data sources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Adaptive Data sources ,[object Object],[object Object]

Rate it Again Increasing Recommendation Accuracy by User re-Rating (Recsys October 09) Recsys 09 NY

Rate it again ,[object Object],[object Object],[object Object],[object Object],[object Object]

The Wisdom of the Few ,[object Object],[object Object]

It's all About the Data

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