Unit 6 Flashcards

(41 cards)

1
Q

Why do we need music recommendations

A

Why do we need music recommendations?

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2
Q

Whom to ask for recommendations

A

Whom to ask for recommendations

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3
Q

How do we search for music

A

How do we search for music

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4
Q

How to describe music features

A

How to describe music features

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5
Q

User generated content

A

User generated content

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6
Q

Playlist recommendations

A

Playlist recommendations

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7
Q

Approaches to automatic recommendations

A

Approaches to automatic recommendations

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8
Q

Offerings

A

Offerings

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9
Q

Demand

A

Demand

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10
Q

Amazon RS

A

Amazon RS

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11
Q

Pandora RS

A

Pandora RS

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12
Q

Last Fm

A

Last Fm

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13
Q

BlueTunA RS

A

BlueTunA RS

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14
Q

Quality of good recommendation

A

Quality of good recommendation

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15
Q

mpeer

A

mpeer

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16
Q

Feature

A

Feature

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17
Q

Textual description

A

Textual description

18
Q

Expert Metadata

A

Expert Metadata

19
Q

Web mining

20
Q

Social Tags

21
Q

Description of audio features

A

Description of audio features

22
Q

Feature Extraction

A

Feature Extraction

23
Q

State of art automatic analysis

A

State of art automatic analysis

24
Q

Standards for a description of musical feature

A

Standards for description of musical feature

25
User U
User U
26
User profile features
User profile features
27
Description lang for user profile
Description lang for user profile
28
UMIRL, MPEG-7, FOAF
UMIRL, MPEG-7, FOAF
29
Description of user profile
Description of user profile
30
Setup and storage of user profile
Setup and storage of user profile
31
Distance and similarity of user and items
Distance and similarity of user and items
32
The similarity of Items and user
Similarity of Items and user
33
User based CF similarity
User based CF similarity
34
Distance metric
Distance metric
35
Similarity metric
Similarity metric
36
Dice and Jaccard
Dice and Jaccard
37
Recommend
Recommend
38
Categorization of RS
Categorization of RS
39
CBF
CBF
40
Collaborative filtering
Collaborative filtering
41
User-based CF
User-based CF