Beliefs amp; Biases in Web Search - Microsoft Research信仰amp；Web有哪些信誉好的足球投注网站偏见微软研究.pptVIP

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2018-06-24 发布于四川
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Beliefs amp; Biases in Web Search - Microsoft Research信仰amp；Web有哪些信誉好的足球投注网站偏见微软研究.ppt

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Beliefs

Beliefs Biases in Web Search Ryen White Microsoft Research ryenw@ Bias in IR and elsewhere In IR, e.g., Domain bias – People prefer particular Web domains Rank bias – People favor high-ranked results Caption bias – People prefer captions with certain terms In psychology, e.g., Anchoring-and-adjustment, confirmation, availability, etc. All impact user behavior Opportunity to intersect psychology and IR Our Interest in Biases Bias can be observed in IR in situations where searchers seek or are presented with information that significantly deviates from the truth More on the “truth” later… Our Interest in Biases Bias can be observed in IR in situations where searchers seek or are presented with information that significantly deviates from the truth More on the “truth” later… User behavior Search engine behavior Outline for Remainder of Talk Initial Exploratory Questionnaire Log Analysis Labeling Content and Truth Findings Conclusions Initial Exploratory Questionnaire Gain early insight into possible biases in search Focus on Yes-No questions (answered with “Yes” or “No”) Simplicity: Answers along single dimension (Yes ? No) Microsoft employees; recall recent Yes-No query (in last 2 weeks) Asked about belief beforehand and afterwards Multi-point scale: Yes / Lean Yes / Equal / Lean No / No 200 respondents. Recalled questions such as: “Does chocolate contain caffeine?”“Are shingles contagious?” Survey Results Two main findings: 1. Respondents kept strongly-held beliefs (Yes-Yes and No-No) 2. If Before = Equal, then 2x as likely to believe Yes after search Motivated us to:Further explore possible impact of biases on behavior and outcomes Post-search belief given Pre-search belief Confirmation? Log-Based Study of Yes-No Queries Queries, clicks, and results from Bing logs (2 weeks) Mined yes-no questions: start with “can”, “is”, “does”, etc. Focused on health since it’s important and we could get truth Randomly selected set of 1000 yes-no health questions