Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PAT-tree-based keyword extraction for Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
Proceedings of the 15th international conference on World Wide Web
Design and implementation of Blog rendering and accessing instantly system (BRAINS)
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Situational reasoning for task-oriented mobile service recommendation
The Knowledge Engineering Review
Expert Systems with Applications: An International Journal
Document clustering using nonnegative matrix factorization
Information Processing and Management: an International Journal
Anonymous connections and onion routing
IEEE Journal on Selected Areas in Communications
Editorial: Measuring the impact of personalization and recommendation on user behaviour
International Journal of Human-Computer Studies
A web search-centric approach to recommender systems with URLs as minimal user contexts
Journal of Systems and Software
International Journal of Human-Computer Studies
Proactive privacy practices in transition: Toward ubiquitous services
Information and Management
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Compared to newspaper columnists and broadcast media commentators, bloggers do not have organizations actively promoting their content to users; instead, they rely on word-of-mouth or casual visits by web surfers. We believe the WAP Push service feature of mobile phones can help bridge the gap between internet and mobile services, and expand the number of potential blog readers. Since mobile phone screen size is very limited, content providers must be familiar with individual user preferences in order to recommend content that matches narrowly defined personal interests. To help identify popular blog topics, we have created (a) an information retrieval process that clusters blogs into groups based on keyword analyses, and (b) a mobile content recommender system (M-CRS) for calculating user preferences for new blog documents. Here we describe results from a case study involving 20,000 mobile phone users in which we examined the effects of personalized content recommendations. Browsing habits and user histories were recorded and analyzed to determine individual preferences for making content recommendations via the WAP Push feature. The evaluation results of our recommender system indicate significant increases in both blog-related push service click rates and user time spent reading personalized web pages. The process used in this study supports accurate recommendations of personalized mobile content according to user interests. This approach can be applied to other embedded systems with device limitations, since document subject lines are elaborated and more attractive to intended users.