Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

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IIR 2013 - 4th Italian Information Retrieval Workshop Pisa (Italy), 17.01.2013 Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis

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Italian Information Retrieval 2013 - Workshop (http://iir2013.isti.cnr.it) - Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Transcript of Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Page 1: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

IIR 2013 - 4th Italian Information Retrieval Workshop

Pisa (Italy), 17.01.2013

Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists

Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis

Page 2: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

exponential growthof the available music

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 3: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Some stats28,000,000 songs available on iTunes Store (*)

around 31,000 hours of music

a typical user spends 1.5 hours for day listening to music

56 years=

to listen to the whole iTunes Library

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

(*) http://www.digitalmusicnews.com/permalink/2012/120425itunes

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Information Overload

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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what music should I listen to?C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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personalization.

solution

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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personalized music playlists

solution

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Is this something new?No.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Amazon.com

Recommendations

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Genius @iTunes

Recommendations

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 11: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Recommendations

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 12: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

All the state of the art platforms share an important drawback.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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training is a bottleneck.C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 14: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

need for explicit

informationabout

user interests.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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social media

provide information about user preferences

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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example

user preferences in music from Facebook

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Our contributionPlay.me

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Play.me• Goal

• To provide users with personalized music playlists

• Insights

• Extraction of explicit user preferences from Facebook

• Playlist creation by enriching explicit user preferences.

• New artists are added to those explicitly extracted from Facebook

• Comparison of two enrichment techniques

personalized music playlists

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Play.mearchitecture

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Play.mearchitecture

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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• Crawling from Last.fm

• Public API

•Content-based features

• Name of the artist + Social tags

• Noise processing

• Information locally stored

pre-processing

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

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pre-processing

Sigur Ròs tag cloud from Last.fm

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

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Play.mearchitecture

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 24: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

data extraction from Facebook

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

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data extraction from Facebook

explicit preferencesC. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

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data extraction from Facebook

implicit preferencesC. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 27: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Play.mearchitecture

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 28: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

•Rationale

• Given a set of explicit preferences extracted from Facebook

• Play.me enrichs this set

• Extraction of artists similar to those the user explicity likes

enrichment

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 29: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

enrichment example

Coldplay extracted from Facebook

enrichment

radiohead red hot chili peppers kings of leon

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 30: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Play.mearchitecture

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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Play.meplaylist

Most popular songs of the artists extracted from Last.fm (as well as those added through the enrichment) are proposed to the user.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 32: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

let’s go deeper

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 33: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

• Comparison of two approaches

•Content-based strategy•Distributional Models

•Linked Data

enrichment

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 34: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

•Content-based strategy

• Each artist is modeled through a set of tags

• Each artist is represented as a point in a semantic geometrical space

• Distributional Models

• Similarity calculations to extract the most similar artists.

enrichment based on Distributional Models

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 35: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

“meaning is its use”

L.Wittgenstein(Austrian philosopher)

distributional models

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 36: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

insightby analyzing large corpus of textual data it is possible to infer information about the usage (about the meaning) of the terms.

example

distributional models

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 37: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

c1 c2 c3 c4 c5 c6 c7 c8 c9

t1 ✔ ✔ ✔ ✔

t2 ✔ ✔ ✔ ✔

t3 ✔ ✔ ✔

t4 ✔ ✔ ✔ ✔

distributional modelsterm/context matrix (WordSpace)

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 38: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

beer vs. glass: good overlap

c1 c2 c3 c4 c5 c6 c7 c8 c9

t1 ✔ ✔ ✔ ✔

t2 ✔ ✔ ✔ ✔

t3 ✔ ✔ ✔

t4 ✔ ✔ ✔ ✔

distributional models

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 39: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

distributional modelsbeer vs. spoon: no overlap

c1 c2 c3 c4 c5 c6 c7 c8 c9

t1 ✔ ✔ ✔ ✔

t2 ✔ ✔ ✔ ✔

t3 ✔ ✔ ✔

t4 ✔ ✔ ✔ ✔

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 40: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

distributional modelsrock vs. post rock = good overlap

c1 c2 c3 c4 c5 c6

rock ✔ ✔ ✔

post rock ✔ ✔

jazz ✔

classical ✔ ✔ ✔

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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distributional modelsrock vs. classical = no overlap

c1 c2 c3 c4 c5 c6

rock ✔ ✔ ✔

post rock ✔ ✔

jazz ✔

classical ✔ ✔ ✔

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 42: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

representation of documents (*) can be inferred by combining the representation of

the terms (**) occurring in the document.

(*) documents = artists(**) terms = tags

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 43: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

distributional models

c1 c2 c3 c4 c5 c6 c7 c8 c9

t2 ✔ ✔ ✔ ✔

t3 ✔ ✔ ✔

d1 ✔ ✔ ✔ ✔ ✔

term/context matrix (DocSpace)

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 44: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Coldplay

RadioheadKings of Leon

Lady Gaga

enrichment based on Distributional Models

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 45: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

enrichment based on Distributional Models

radiohead the killers kings of leon

input: vector space representation

output: artists with the highest cosine similarity

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 46: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Linked Open Data Cloud

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 47: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Linked Open Data Cloud

Structured (RDF)

representation of the information

stored in Wikipedia.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 48: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

enrichment based on Linked Data

Coldplay play Alternative RockC. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 49: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

RDF triple

Relationships are explictly encoded in RDF.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 50: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

• Linked Open Data Cloud

• Each artist is mapped on a DBpedia node.

• univocal URI

• Relationship between artists (nodes) are explicitly encoded

• e.g. genre, artist category, etc.

• Use of SPARQL to extract artists (nodes) that

share the same features

enrichment based on Linked Data

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Play.me

Page 51: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

Play.meenrichment based on Linked Data

radiohead the smiths the verve

input: SPARQL query

output: artists sharing the same properties

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 52: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

recapenrichment process

radiohead

input: artist output: similar artists

kings of leon

radiohead

Linked Data

Distributional Models

coldplay the smiths

the verve

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 53: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental evaluation.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 54: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

• Experiment

• Which one is the enrichment technique that can provide users with the best playlists ?

experimental design

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 55: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

•30 users

• Heterogeneous musical knowledge

• Last.fm crawl: 228,878 artists

• Extraction & Recommendation step

•325 artists extracted

•11 per user, on average

experimental designsettings

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 56: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental setup

Given a playlist, each user can freely express her ownfeedback (like/dislike) on the proposed tracks.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 57: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental setup

Experiment repeated three times (one run with Linked Data enrichment, another one with Distributional Models, one with a simple baseline based on popularity).

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 58: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental setup

Users were unaware of the adopted configuration.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 59: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental designresults

55

61,25

67,5

73,75

80

n=1 n=2 n=3

585858

69,775,276,3

63,264,6

65,9

Linked DataDistributional ModelsBaseline (Popularity)

n = number of artists added for each extracted artistC. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 60: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental designresults

55

61,25

67,5

73,75

80

n=1 n=2 n=3

585858

69,775,276,3

63,264,6

65,9

Linked DataDistributional ModelsBaseline (Popularity)

distributional models overcome linked dataC. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 61: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental designresults

55

61,25

67,5

73,75

80

n=1 n=2 n=3

585858

69,775,276,3

63,264,6

65,9

Linked DataDistributional ModelsBaseline (Popularity)

precision in distributional models drops down more rapidlyC. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 62: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

experimental designresults

55

61,25

67,5

73,75

80

n=1 n=2 n=3

585858

69,775,276,3

63,264,6

65,9

Linked DataDistributional ModelsBaseline (Popularity)

good results for baseline, as well (poor music knowledge?)C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 63: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

conclusions.

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 64: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

both enrichment techniques overcome the baseline

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 65: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

distributional models overcome linked data

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 66: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

future research.C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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merging different enrichment techniques

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 68: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

evaluation with user-based metrics(serendipity, novelty, unexpectedness)

C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

Page 69: Distributional Models vs. Linked Data: leveraging crowdsourcing to personalize music playlists

modeling context.C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13

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questions?C. Musto, F. Narducci, G. Semeraro, P. Lops, M. de Gemmis.Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists - IIR 2013 - 17.01.13