Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Topic development in USENET newsgroups
Journal of the American Society for Information Science
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
How reliable are the results of large-scale information retrieval experiments?
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Language models for financial news recommendation
Proceedings of the ninth international conference on Information and knowledge management
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Modern Information Retrieval
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Probabilistic approaches to topic detection and tracking
Topic detection and tracking
Explorations within topic tracking and detection
Topic detection and tracking
Customized Internet news services based on customer profiles
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
WWW '05 Proceedings of the 14th international conference on World Wide Web
An intelligent news recommender agent for filtering and categorizing large volumes of text corpus
International Journal of Intelligent Systems
Information retrieval system evaluation: effort, sensitivity, and reliability
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Open user profiles for adaptive news systems: help or harm?
Proceedings of the 16th international conference on World Wide Web
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Comparing and evaluating information retrieval algorithms for news recommendation
Proceedings of the 2007 ACM conference on Recommender systems
SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs
Journal of Management Information Systems
Ontology-Based Personalised and Context-Aware Recommendations of News Items
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Exploiting noun phrases and semantic relationships for text document clustering
Information Sciences: an International Journal
A Comparative Study of Utilizing Topic Models for Information Retrieval
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
News Recommender System Based on Topic Detection and Tracking
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Information Sciences: an International Journal
Automatic text categorization based on content analysis with cognitive situation models
Information Sciences: an International Journal
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Information Sciences: an International Journal
Slovak Blog Clustering Enhanced by Mining the Web Comments
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Impact and degree of user sociability in social media
Information Sciences: an International Journal
Care to comment?: recommendations for commenting on news stories
Proceedings of the 21st international conference on World Wide Web
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
Adaptive spatial hypermedia in computational journalism
Proceedings of the 23rd ACM conference on Hypertext and social media
User participation prediction in online forums
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
Information Sciences: an International Journal
On-line dynamic adaptation of fuzzy preferences
Information Sciences: an International Journal
Diversifying user comments on news articles
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
Recommending social network applications via social filtering mechanisms
Information Sciences: an International Journal
Deriving market intelligence from microblogs
Decision Support Systems
Defending recommender systems by influence analysis
Information Retrieval
Discovering generalized association rules from Twitter
Intelligent Data Analysis
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News recommendation and user interaction are important features in many Web-based news services. The former helps users identify the most relevant news for further information. The latter enables collaborated information sharing among users with their comments following news postings. This research is intended to marry these two features together for an adaptive recommender system that utilizes reader comments to refine the recommendation of news in accordance with the evolving topic. This then turns the traditional ''push-data'' type of news recommendation to ''discussion'' moderator that can intelligently assist online forums. In addition, to alleviate the problem of recommending essentially identical articles, the relationship (duplicate, generalization, or specialization) between recommended news articles and the original posting is investigated. Our experiments indicate that our proposed solutions provide an improved news recommendation service in forum-based social media.