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
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
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
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
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
Comments-oriented blog summarization by sentence extraction
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
An Analysis of Bloggers, Topics and Tags for a Blog Recommender System
From Web to Social Web: Discovering and Deploying User and Content Profiles
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
Expert Systems with Applications: An International Journal
SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility
ACM Transactions on Information Systems (TOIS)
News Recommender System Based on Topic Detection and Tracking
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
WisColl: Collective wisdom based blog clustering
Information Sciences: an International Journal
User comments for news recommendation in social media
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
An analysis of network structure and post content for blog post recommendation
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Sentiment analysis of user comments for one-class collaborative filtering over ted talks
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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The variety of engaging interactions among users in social medial distinguishes it from traditional Web media. Such a feature should be utilized while attempting to provide intelligent services to social media participants. In this article, we present a framework to recommend relevant information in Internet forums and blogs using user comments, one of the most representative of user behaviors in online discussion. When incorporating user comments, we consider structural, semantic, and authority information carried by them. One of the most important observation from this work is that semantic contents of user comments can play a fairly different role in a different form of social media. When designing a recommendation system for this purpose, such a difference must be considered with caution.