Paper Info
Title
Personalized blog content recommender system for mobile phone users
Abstract
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.
Year
DOI
Venue
2010
10.1016/j.ijhcs.2010.03.005
Int. J. Hum.-Comput. Stud.
Keywords
Field
DocType
personalized mobile content,content provider,mobile services,individual user preference,personalized blog content recommender,recommender system,personalized content recommendation,content push,recommendation,mobile phone screen size,mobile service,content recommendation,mobile phone,mobile phone user,mobile content recommender system,blog,word of mouth,web pages,embedded system,information retrieval
Recommender system,Mobile computing,World Wide Web,Mobile search,Web page,Computer science,Human–computer interaction,Mobile phone,Wireless Application Protocol,Web service,Multimedia,Personalization
Journal
Volume
Issue
ISSN
68
8
International Journal of Human - Computer Studies
Citations 
PageRank 
References 
17
0.77
15
Authors
3
Name
Order
Citations
PageRank
Po-Huan Chiu1472.28
Gloria Yi-Ming Kao2778.26
Chi-Chun Lo359354.99