Jia Wang
ABSTRACT
Reading and Commenting online news is becoming a common user behavior in social media. Discussion in the form of comments following news postings can be effectively facilitated if the service provider can recommend articles based on not only the original news itself but also the thread of changing comments. This turns the traditional news recommendation to a "discussion moderator" that can intelligently assist online forums. In this work, we present a framework to recommend relevant information in the forum-based social media using user comments. When incorporating user comments, we consider structural and semantic information carried by them. Experiments indicate that our proposed solutions provide an effective recommendation service.
- T. Bogers and A. Bosch. Comparing and evaluating information retrieval algorithms for news recommendation. In Proc. of ACM Recommender systems, 2007. Google Scholar
Digital Library
- S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, 30(1--7):107--117, 1998. Google ScholarDigital Library
- J.-H. Chiang and Y.-C. Chen. An intelligent news recommender agent for filtering and categorizing large volumes of text corpus. International Journal of Intelligent Systems, 19(3):201--216, 2004. Google ScholarDigital Library
- V. Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie, D. Jensen, and J. Allan. Language models for financial news recommendation. In Proc. of CIKM, 2000. Google ScholarDigital Library
Index Terms
- User comments for news recommendation in social media
Recommendations
User comments for news recommendation in forum-based social media
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 ...
Investigating topic models for social media user recommendation
WWW '11: Proceedings of the 20th international conference companion on World wide webThis paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users' interests using Latent Dirichlet Allocation (LDA), a linguistic topic model that represents users as ...
Identification of useful user comments in social media: a case study on flickr commons
JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital librariesCultural institutions are increasingly opening up their repositories and contribute digital objects to social media platforms such as Flickr. In return they often receive user comments containing information that could be incorporated in their catalog ...
Comments