NUDTSNA at TREC 2015 Microblog Track: A Live Retrieval System Framework for Social Network based on Semantic Expansion and Quality Model

Abstract

This paper describe our approaches to real-time filtering task in the TREC 2015 Microblog track, including push notifications on a mobile phone task and periodic email digest task. In the push notifications on a mobile phone task, we apply a recommendation framework with rank algorithm and dynamic threshold adjustment which utilizes both semantic content and quality of a tweet. External information extracted from Google search engine and word2vec model based on existing corpus are well incorporated to enhance the understanding of a tweets or a profiles interest. In the email digest task, based on the candidate tweets retrieved from the first task, we calculate the score of a tweet considering semantic features and quality features, all the tweets classified into a topic are ranked by our key word bool logistic model.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 20, 2015
Accession Number
AD1004806

Entities

People

  • Aiping Li
  • Chenlu Zhang
  • Huang Dongchuan
  • Jiuming Huang
  • Li Zhenzhen
  • Mingwei Chen
  • Sheng Zhu
  • Xiang Zhu
  • Yan Jia
  • Zhao Chengliang

Organizations

  • National University of Defense Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Equations
  • Feature Extraction
  • Filtration
  • Machine Learning
  • Media
  • Mobile Phones
  • Models
  • Online Communications
  • Personality
  • Social Media
  • Social Networking Services
  • Social Networks
  • Test And Evaluation
  • Tools
  • Vector Spaces

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Information Retrieval

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval