Systems Good for People Chained to the Rhythm Learning Analogies - - PowerPoint PPT Presentation

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Systems Good for People Chained to the Rhythm Learning Analogies - - PowerPoint PPT Presentation

Making Information Systems Good for People Chained to the Rhythm Learning Analogies Analogies Run Amok What Happened? What We Do How Do They Work? Finding Patterns Recommender Vocabulary


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Making Information Systems Good for People

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Chained to the Rhythm

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Learning Analogies

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Analogies Run Amok

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What Happened?

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What We Do

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How Do They Work?

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Finding Patterns

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Recommender Vocabulary

🌾 πŸ– βš— πŸŽ‚ 🚳 πŸ‘Ή πŸ™Œ πŸ•΅ πŸ‘° πŸ‘Ύ 🌠 πŸ’œ πŸ‘ŽπŸ’³

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Recommender Architecture

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User-Based Recommendations

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Item-Based Recommendations

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Matrix Factorization

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Other Techniques

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How Do We Know It Worked?

Offline evaluation Online evaluation (A/B testing) Lab-style user studies

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Experimental Protocol

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building researching learning about

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LensKit in Use

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When Recommenders Fail

Ekstrand and Riedl, RecSys 2012

πŸ˜‘ πŸ™ƒ ☹

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User-Perceived Differences

Ekstrand et al., RecSys 2014

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Experiment Features

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Results in Differences

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Problems with Evaluation

Ekstrand and Mahant, FLAIRS 2017

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Misclassified Decoys

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Sturgeon’s Law

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Sturgeon’s Decoys

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Who Benefits from Recommendations?

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Our Question

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Fairness in Recommendation and Search

Consumers Producers Groups πŸ•»πŸ’„πŸ€·πŸ· πŸ§•πŸ‘ΆπŸŽ† πŸ§œπŸ‘ΉπŸ§š Individuals

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Data

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Gender

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Age

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Differences Exist

  • β‡’
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Reciprocity [Franklin, 1989]

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Giving Users a Voice

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LITERATE

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Sample of Ethical Issues

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ACM Code of Ethics

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Propagating Bias?

(Under Review)

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Feedback Loops

(Future Work)

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Promote Misinformation

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Segment Society

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Promote Clickbait

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Limits of Behavioral Observation

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Information Disclosure

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  • In Search of James Comey
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Fair Privacy

(w/ Hoda Mehrpouyan, FAT* 2018)

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Beyond Recommenders

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The Real World of Technology

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Paths Forward

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Thank You