Twitter-based user modeling for news recommendations
Published 3 August 2013
Fabian Abel, Qi Gao, Geert‐Jan Houben, Ke Tao
Citations42
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
In this paper, we study user modeling on Twitter. We investigate different strategies for mining user interest profiles from microblogging activities ranging from strategies that analyze the semantic meaning of Twitter messages to strategies that adapt to temporal patterns that can be observed in the microblogging behavior. We evaluate the quality of the user modeling methods in the context of a personalized news recommendation system. Our results reveals that an understanding of the semantic meaning of microposts is key for generating high-quality user profiles.
Keywords
Social SciencesPhysics and Astronomy
Earthquake shakes Twitter users
3,667 Citations2010Takeshi Sakaki, Makoto Okazaki +1 more
This paper investigates the real-time interaction of events such as earthquakes in Twitter and proposes an algorithm to monitor tweets and to detect a target event and produces a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location.
Proceedings of the International AAAI Conference on Web and Social MediaMeasuring User Influence in Twitter: The Million Follower Fallacy
3,009 Citations2010Meeyoung Cha, Hamed Haddadi +2 more
An in-depth comparison of three measures of influence, using a large amount of data collected from Twitter, is presented, suggesting that topological measures such as indegree alone reveals very little about the influence of a user.
You are where you tweet
1,081 Citations2010Zhiyuan Cheng, James Caverlee +1 more
A probabilistic framework for estimating a Twitter user's city-level location based purely on the content of the user's tweets, which can overcome the sparsity of geo-enabled features in these services and enable new location-based personalized information services, the targeting of regional advertisements, and so on.
Personalized news recommendation based on click behavior
764 Citations2010Jiahui Liu, P. Dolan +1 more
This research presents the content-based recommendation mechanism which uses learned user profiles with an existing collaborative filtering mechanism to generate personalized news recommendations in Google News and demonstrates that the hybrid method improves the quality of news recommendation and increases traffic to the site.
Recommending twitter users to follow using content and collaborative filtering approaches
479 Citations2010John Hannon, Mike Bennett +1 more
A range of different profiling and recommendation strategies are evaluated, based on a large dataset of Twitter users and their tweets, to demonstrate the potential for effective and efficient followee recommendation.
Short and tweet
413 Citations2010Jilin Chen, Rowan Nairn +3 more
This paper studied content recommendation on Twitter to better direct user attention and explored three separate dimensions in designing such a recommender: content sources, topic interest models for users, and social voting.
Lecture notes in computer scienceSemantic Enrichment of Twitter Posts for User Profile Construction on the Social Web
264 Citations2011Fabian Abel, Qi Gao +2 more
A large-scale evaluation validates the benefits of the approach and shows that the methods relate tweets to news articles with high precision and coverage, enrich the semantics of tweets clearly and have strong impact on the construction of semantic user profiles for the Social Web.
Time is of the essence
200 Citations2010Anlei Dong, Ruiqiang Zhang +6 more
A method to use the micro-blogging data stream to detect fresh URLs and to compute novel and effective features for ranking fresh URLs is proposed and demonstrated to improve effective of the portal web search engine for realtime web search.
Computing political preference among twitter followers
138 Citations2011Jennifer Golbeck, Derek L. Hansen
A novel method for computing preference among an organization's Twitter followers is presented and an application of this technique is presented to estimate political preference of the audiences of U.S. media outlets.
Analyzing temporal dynamics in Twitter profiles for personalized recommendations in the social web
122 Citations2011Fabian Abel, Qi Gao +2 more
This paper investigates user modeling strategies for inferring personal interest profiles from Social Web interactions and compares different strategies for creating user profiles based on the Twitter messages a user has published and study how these profiles change over time.
Interweaving Trend and User Modeling for Personalized News Recommendation
26 Citations2011Qi Gao, Fabian Abel +2 more
It is shown that personal interests are more important for the recommendation process than public trends and that by combining both types of profiles the authors can further improve recommendation quality.