Beyond keyword search: discovering relevant scientific literature
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking objects by following paths in entity-relationship graphs
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Random walk inference and learning in a large scale knowledge base
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Relevance search in heterogeneous networks
Proceedings of the 15th International Conference on Extending Database Technology
Reading the web with learned syntactic-semantic inference rules
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems
Proceedings of the 21st ACM international conference on Information and knowledge management
User guided entity similarity search using meta-path selection in heterogeneous information networks
Proceedings of the 21st ACM international conference on Information and knowledge management
Let's get together: the formation and success of online creative collaborations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Query expansion using path-constrained random walks
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Academic network analysis: a joint topic modeling approach
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Programming with personalized pagerank: a locally groundable first-order probabilistic logic
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
On building entity recommender systems using user click log and freebase knowledge
Proceedings of the 7th ACM international conference on Web search and data mining
Personalized entity recommendation: a heterogeneous information network approach
Proceedings of the 7th ACM international conference on Web search and data mining
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Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval or named entity recognition (NER) to be formulated as typed proximity queries in the graph. One popular proximity measure is called Random Walk with Restart (RWR), and much work has been done on the supervised learning of RWR measures by associating each edge label with a parameter. In this paper, we describe a novel learnable proximity measure which instead uses one weight per edge label sequence: proximity is defined by a weighted combination of simple "path experts", each corresponding to following a particular sequence of labeled edges. Experiments on eight tasks in two subdomains of biology show that the new learning method significantly outperforms the RWR model (both trained and untrained). We also extend the method to support two additional types of experts to model intrinsic properties of entities: query-independent experts, which generalize the PageRank measure, and popular entity experts which allow rankings to be adjusted for particular entities that are especially important.