On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Term and citation retrieval: a field study
Information Processing and Management: an International Journal
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The Journal of Machine Learning Research
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Bibliometric impact measures leveraging topic analysis
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Using citations for ranking in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Creating a test collection for citation-based IR experiments
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
A support vector method for optimizing average precision
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Recommending citations for academic papers
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Enhancing patent retrieval by citation analysis
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Joint latent topic models for text and citations
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Comparing citation contexts for information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
A Discriminative Approach to Topic-Based Citation Recommendation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Using citations to generate surveys of scientific paradigms
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Using prior information derived from citations in literature search
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Evaluating score normalization methods in data fusion
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Citation count prediction: learning to estimate future citations for literature
Proceedings of the 20th ACM international conference on Information and knowledge management
Adding structure to top-k: from items to expansions
Proceedings of the 20th ACM international conference on Information and knowledge management
Predicting a scientific community's response to an article
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Document hierarchies from text and links
Proceedings of the 21st international conference on World Wide Web
To better stand on the shoulder of giants
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Exploiting potential citation papers in scholarly paper recommendation
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Can't see the forest for the trees?: a citation recommendation system
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Combining one-class classifiers via meta learning
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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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Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide variety of factors important to researchers, and learns the weights of each of these factors by observing citation patterns. We introduce features like topical similarity and author behavioral patterns, and combine these with features from related work like citation count and recency of publication. We present an iterative process for learning weights for these features that alternates between retrieving articles with the current retrieval model, and updating model weights by training a supervised classifier on these articles. We propose a new task for evaluating the resulting retrieval models, where the retrieval system takes only an abstract as its input and must produce as output the list of references at the end of the abstract's article. We evaluate our model on a collection of journal, conference and workshop articles from the ACL Anthology Reference Corpus. Our model achieves a mean average precision of 28.7, a 12.8 point improvement over a term similarity baseline, and a significant improvement both over models using only features from related work and over models without our iterative learning.