Integration of user profiles: models and experiments in information retrieval
Information Processing and Management: an International Journal
The role of “help networks” in facilitating use of CSCW tools
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Conversation map: a content-based Usenet newsgroup browser
Proceedings of the 5th international conference on Intelligent user interfaces
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Web search behavior of Internet experts and newbies
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
The role of user profiles for news filtering
Journal of the American Society for Information Science and Technology
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining web logs for prediction models in WWW caching and prefetching
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Computer Supported Social Networking For Augmenting Cooperation
Computer Supported Cooperative Work
Content-Independent Task-Focused Recommendation
IEEE Internet Computing
The InfoFinder Agent: Learning User Interests through Heuristic Phrase Extraction
IEEE Expert: Intelligent Systems and Their Applications
Recommending collaboration with social networks: a comparative evaluation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Stereotype-based versus personal-based filtering rules in information filtering systems
Journal of the American Society for Information Science and Technology
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Experiencies Retrieving Information in the World Wide Web
ISCC '01 Proceedings of the Sixth IEEE Symposium on Computers and Communications
Analysis of SIGMOD's co-authorship graph
ACM SIGMOD Record
Structural and algorithmic aspects of massive social networks
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
A graph model for E-commerce recommender systems
Journal of the American Society for Information Science and Technology
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
SNACK: incorporating social network information in automated collaborative filtering
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
An analysis of web searching by European AlltheWeb.com users
Information Processing and Management: an International Journal
Incorporating physical co-presence at events into digital social networking
CHI '05 Extended Abstracts on Human Factors in Computing Systems
IEEE Transactions on Knowledge and Data Engineering
Social Network Discovery by Mining Spatio-Temporal Events
Computational & Mathematical Organization Theory
Co-authorship networks in the digital library research community
Information Processing and Management: an International Journal - Special issue: Infometrics
Inferring binary trust relationships in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
Link prediction in citation networks
Journal of the American Society for Information Science and Technology
Hi-index | 0.00 |
Recommender systems are increasingly touted as an indispensable service of many online stores and websites. Most existing recommendation techniques typically rely on users' historical, long-term interest profiles, derived either explicitly from users' preference ratings or implicitly from their purchasing/browsing history, to arrive at recommendation decisions. In this study, we propose a coauthorship network-based, task-focused literature recommendation technique to meet users' information need specific to a task under investigation and develop three different schemes for estimating the closeness between scholars based on their coauthoring relationships. We empirically evaluate the proposed coauthorship network-based technique. The evaluation results suggest that our proposed technique outperforms the author-based technique across various degrees of content coherence in task profiles. The proposed technique is more effective than the content-based technique when task profiles specified by users are similar in their contents but is less effective otherwise. We further develop a hybrid method that switches between the coauthorship network-based and content-based techniques on the basis of the content coherence of a task profile. It achieves comparable or better recommendation effectiveness, when compared with the pure coauthorship network-based and content-based techniques.