GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An algorithm for suffix stripping
Readings in information retrieval
Personalized, interactive news on the Web
Multimedia Systems
A technique for measuring the relative size and overlap of public Web search engines
WWW7 Proceedings of the seventh international conference on World Wide Web 7
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A graph-based recommender system for digital library
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Modern Information Retrieval
Novelty and redundancy detection in adaptive filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Enhancing digital libraries with TechLens+
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Simple BM25 extension to multiple weighted fields
Proceedings of the thirteenth ACM international conference on Information and knowledge management
IEEE Transactions on Knowledge and Data Engineering
An architecture for the aggregation and analysis of scholarly usage data
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Don't look stupid: avoiding pitfalls when recommending research papers
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Research Paper Recommender Systems: A Random-Walk Based Approach
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Recommending related papers based on digital library access records
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Recommending citations for academic papers
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Concept-Based Document Recommendations for CiteSeer Authors
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Conceptual recommender system for CiteSeerX
Proceedings of the third ACM conference on Recommender systems
Automatic retrieval of similar content using search engine query interface
Proceedings of the 18th ACM conference on Information and knowledge management
Context-aware citation recommendation
Proceedings of the 19th international conference on World wide web
Scholarly paper recommendation via user's recent research interests
Proceedings of the 10th annual joint conference on Digital libraries
Research paper recommender systems: a subspace clustering approach
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
BReK12: a book recommender for K-12 users
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Extending term suggestion with author names
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Position-Aligned translation model for citation recommendation
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
Exploiting potential citation papers in scholarly paper recommendation
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
What to read next?: making personalized book recommendations for K-12 users
Proceedings of the 7th ACM conference on Recommender systems
Research paper recommender system evaluation: a quantitative literature survey
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation
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As the number of research papers available on the Web has increased enormously over the years, paper recommender systems have been proposed to help researchers on automatically finding works of interest. The main problem with the current approaches is that they assume that recommending algorithms are provided with a rich set of evidence (e.g., document collections, citations, profiles) which is normally not widely available. In this paper we propose a novel source independent framework for research paper recommendation. The framework requires as input only a single research paper and generates several potential queries by using terms in that paper, which are then submitted to existing Web information sources that hold research papers. Once a set of candidate papers for recommendation is generated, the framework applies content-based recommending algorithms to rank the candidates in order to recommend the ones most related to the input paper. This is done by using only publicly available metadata (i.e., title and abstract). We evaluate our proposed framework by performing an extensive experimentation in which we analyzed several strategies for query generation and several ranking strategies for paper recommendation. Our results show that good recommendations can be obtained with simple and low cost strategies.