MEDIA RECOMMENDATION SYSTEMSYossi CohenCTODSP-IP

AGENDA

• Why Do we need it?• What are recommendation systems?

– Content based– Collaborative– Hybrid

• Examples– Music – Video

• Summary & Trends

WHY RECOMMENDATION ENGINE?

RECOMM. SYSTEM DEFINITION

• Recommender systems are a specific type of information filtering (IF) technique that attempt to present to the user information items (movies, music, books, news, web pages) the user is interested in.

• To do this the user's profile is compared to some reference characteristics. These characteristics may be from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach).

TAXONOMY

COLLABORATIVE FILTERING

• Collaborative filtering (CF) is the method of making automatic predictions (filtering) about the interests of a user by collecting taste information from many users (collaborating). The underlying assumption of CF approach is that those who agreed in the past tend to agree again in the future. For example, a collaborative filtering or recommendation system for music tastes could make predictions about which music a user should like given a partial list of that user's tastes (likes or dislikes).

Source: TrustedOpinion

MUSIC RECOMMENDATION ENGINE

MUSIC RECOMMENDATION SERVICES

LAST.FM

MEEMIX

• Try to analyze the user taste in order to provide the best personalized music channel

VIDEO RECOMMENDATION ENGINE

MOVIELENS

• University research project• Web 0.5 GUI• You rate• Get Predictions

FLIXSTER

• Commercial version of MovieLens with better features & GUI

Collaborative /Peer based

Content based

SUMMARY

RECOMMENDATION SYSTEM IN

• Content Creators : – Disney, HBO

• Social Web sites : – FaceBook (MyTV/Video apps), MySpace

• Content Aggregators– Magnify, Dabble, SuTree(Israel), Nebo

• Internet (Content) Recommenders– BFN(Alpha-Israel), Mogad, MyStrends

• Mobile Content Recommenders– JumpTap, Matchmine

MORE PLACES FOR RECOM. SYSTEMS

•Channel Creation Platforms

•Video Mesh-ups

TRENDS

ProcessPastPresentFuture

DistributionBroadcastPre defined

channels

UGC / Pre defined channels

My Customized channel

ConsumptionLean Back – open loop

Lean ForwardText search of clips

Lean back

Content typePremium ContentUGC content + Stolen Premium

content

UGC + Legal Premium

content+Meshups

TRENDS

• Recommendation Systems closes the loop between content creator/distributers and the users

SUMMARY• Recommendation engine will not stay only as a stand alone system like

Google in general search• Evolve into serving platforms to provide lean-back / personal channel user

experience like: Pandora, MeeMix, LastFM• Immersed into content aggregation and distribution platforms• Work as a portal (Google) or a download application (Last.FM, Veoh,

MatchMine)• Use a lot of Flash, AIR, Apollo

DSP-IP SERVICES

• Outsourcing, consulting and development services– Video encoding and streaming– Flash Video, VP6– IPTV architecture and services– Recommendation System consulting– Video on DSP platforms (TI DSPs)– Video Advertisement in IPTV, Internet and mobile– Image processing

DSP-IP DSP-IP CONTACT INFORMATION

www.dsp-ip.com Giborey Israel 20, POB 8323, Netanya, IsraelGiborey Israel 20, POB 8323, Netanya, IsraelOffice Phone: 09-8850956, Fax: 050- 8962910Office Phone: 09-8850956, Fax: 050- 8962910

HR Services: HR Services: Michal PoratMichal Poratmichal@dsp-ip.com09-8651933, 054-238368909-8651933, 054-2383689

Technology Management Technology Management Services Services : : Yossi CohenYossi Cohenyossi@dsp-ip.com09-8850956, 054-5313092 09-8850956, 054-5313092

RESOURCES

• Recommendation Systems http://en.wikipedia.org/wiki/Recommendation_system • Collaborative Filtering http://en.wikipedia.org/wiki/Collaborative_filtering • MeeMix www.meemix.com • MovieLens http://movielens.umn.edu/main• Flixster http://www.flixster.com/ • MyStrends www.mystrends.com

http://www.moconews.net/entry/419-recommendation-engine-provider-mystrands-receives-25-million-in-funding/

• Matchmine www.matchtime.com • http://www.killerstartups.com/Video-Music-Photo/matchmine--Media-Discovery-Platform/