Rutgers at the TREC 2012 Session Track

Abstract

At Rutgers, we approached the Session Track task as an issue of personalization, based on both the behaviors exhibited by the searcher during the course of an information seeking episode, and a classification of the task that led the person to engage in information-seeking behavior. Our general approach is described in detail at the Web site of our project (http://comminfo.rutgers.edu/imls/poodle) and in the papers available there. In the TREC 2011 Session Track, we tested preliminary results of predictive models of document usefulness using recursive partitioning models learned from user studies of task session information behaviors. In this year s TREC Session Track, we tested predictive models of document usefulness based on user behaviors by using logistic regression. This was combined with predictive models of task type derived from a multinomial logistic regression model learned from the 2012 Session Track data.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA576869

Entities

People

  • Chang Liu
  • Eun Baik
  • Michael W. Cole
  • Nicholas J. Belkin

Organizations

  • Rutgers University–New Brunswick

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Automatic
  • Classification
  • Data Sets
  • Dwell Time
  • Electronic Mail
  • English Language
  • Feedback
  • Human Behavior
  • Information Operations
  • Intervals
  • Language
  • New Brunswick
  • Precision
  • Predictive Modeling
  • Standards
  • Websites

Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.