NDLI logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. Proceedings of the 2014 Recommender Systems Challenge (RecSysChallenge '14)
  2. A Two Step Ranking Solution for Twitter User Engagement
Loading...

Please wait, while we are loading the content...

An analysis of the 2014 RecSys Challenge
User Engagement as Evaluation: a Ranking or a Regression Problem?
RecSys Challenge 2014: an ensemble of binary classifiers and matrix factorization
Ranking approach to RecSys Challenge
Utilizing Voting Systems for Ranking User Tweets
Regression and Learning to Rank Aggregation for User Engagement Evaluation
A Two Step Ranking Solution for Twitter User Engagement
Predicting User Engagement in Twitter with Collaborative Ranking
Exploring Tweet Engagement in the RecSys 2014 Data Challenge
A Recommender System for Predicting User Engagement in Twitter
Recommender System Based on Modularity
Online Tweet Recommendation Using Extreme Learning Machine
How popular are your tweets?

Similar Documents

...
A Two Step Ranking Solution for Twitter User Engagement (2014)

...
Predicting User Engagement in Twitter with Collaborative Ranking

Article

...
Regression and Learning to Rank Aggregation for User Engagement Evaluation

Article

...
Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank

Article

...
Understanding Library User Engagement Strategies through Large-Scale Twitter Analysis

Article

...
Towards personalized learning to rank for epidemic intelligence based on social media streams

Article

...
User Engagement as Evaluation: a Ranking or a Regression Problem?

Article

...
Classifying latent user attributes in twitter

Article

...
Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

Article

A Two Step Ranking Solution for Twitter User Engagement

Content Provider ACM Digital Library
Author Nasraoui, Olfa Abdollahi, Behnoush Sun, Wenlong Nutakki, Gopi Chand Badami, Mahsa
Abstract In this paper, we describe our solution to the RecSys2014 challenge and results on the test set. We briefly describe some of the challenges, then describe the methodology which starts with feature extraction and construction using the provided tweet data, in combination with IMDB as an external source. Feature construction also involved computing similarity values in a latent factor space to deal with the sparsity and lack of semantics of text-based and other nominal features. We also describe our machine learning models which consist of several stages, including a classifier, followed by a Learning to Rank (LTR) model, with a repairing mechanism to further correct minority class (non-zero engagement) predictions that are close to the boundary. Finally, we draw conclusions in the form of lessons learned and future work toward improving our results.
Starting Page 35
Ending Page 40
Page Count 6
File Format PDF
ISBN 9781450331883
DOI 10.1145/2668067.2668081
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-10-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Social media mining Classification Learning to rank
Content Type Text
Resource Type Article
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
Sl. Authority Responsibilities Communication Details
1 Ministry of Education (GoI),
Department of Higher Education
Sanctioning Authority https://www.education.gov.in/ict-initiatives
2 Indian Institute of Technology Kharagpur Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project https://www.iitkgp.ac.in
3 National Digital Library of India Office, Indian Institute of Technology Kharagpur The administrative and infrastructural headquarters of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
4 Project PI / Joint PI Principal Investigator and Joint Principal Investigators of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
Prof. Saswat Chakrabarti  will be added soon
5 Website/Portal (Helpdesk) Queries regarding NDLI and its services support@ndl.gov.in
6 Contents and Copyright Issues Queries related to content curation and copyright issues content@ndl.gov.in
7 National Digital Libarray of India Club (NDLI Club) Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach clubsupport@ndl.gov.in
8 Digital Preservation Centre (DPC) Assistance with digitizing and archiving copyright-free printed books dpc@ndl.gov.in
9 IDR Setup or Support Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops idr@ndl.gov.in
Cite this Content
Loading...