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Evidence from Behavior

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Presentation on theme: "Evidence from Behavior"— Presentation transcript:

1 Evidence from Behavior
INST 734 Doug Oard Module 7 1

2 Agenda Explicit feedback Implicit Feedback Link analysis Clickstreams

3 Recommender Systems Source: Jon Herlocker, SIGIR 1999

4 Relevance Feedback x x x x o x x x x x x x o x o x x o x o o x x x x
Initial query x x x x o x x x x x x x o x o x x o x o o x x x x Revised query qm = modified query vector q0 = original query vector α,β,γ: weights (hand-chosen or set empirically) Dr = set of known relevant doc vectors Dnr = set of known irrelevant doc vectors x non-relevant documents o relevant documents

5 Rocchio Example (+) (-) 1 1 1 1 2 16 8 8 2 1 8 4 4 1 8 16 4 16 12 2 4
Typically,  <  Computer Apollo Program Theater NASA Navy Original query 1 1 1 1 (+) Positive Feedback 2 16 8 8 2 1 8 4 4 1 (-) Negative feedback 8 16 4 16 12 2 4 1 4 3 New query -1 3 3 1 -2 16

6 Relevance Feedback Assumptions
The initial query was reasonable The positive examples are representative The user will give feedback

7 A1: Good Initial Query? Requires finding something on the first try!
Problems: Knowledge gaps (“Anomalous state of knowledge”) Vocabulary gaps (active vs. passive vocabulary) Misspelling (e.g., Brittany Speers)

8 A2: Representative Examples?
Some relevant documents may be dissimilar Examples: Medical documents written for doctors or patients Policy documents from different organizations Documents written in different dialects

9 A3: Will People Use It? Efficiency Understandability Risk
Longer queries require more processing time Understandability Harder to see why subsequent documents retrieved Risk Users are reluctant to provide negative feedback

10 “Blind” Relevance Feedback
Goal: include terms user could have chosen By choosing terms related to those they did choose Three-stage process Perform an initial search Select new terms from the top results e.g., highest “offer weight” terms in ≥ 2 top results Expand (and reweight) the query Improves MAP for about 2/3 of the queries But increases the variance in AP

11 Agenda Explicit feedback Implicit Feedback Link analysis Clickstreams


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