@inproceedings{add41ab4d1084304a8f1edd2b2430e3c,
title = "Ranking objects by following paths in entity-relationship graphs",
abstract = "In this paper, we propose an object ranking method for search and recommendation. By selecting schema-level paths and following them in an entity-relationship graph, it can incorporate diverse semantics existing in the graph. Utilizing this kind of graph-based data models has been recognized as a reasonable way for dealing with heterogeneous data. However, previous work on ranking models using graphs has some limitations. In order to utilize a variety of semantics in multiple types of data, we define a schema path as a basic component of the ranking model. By following the path or a combination of paths, relevant objects could be retrieved or recommended. We present some preliminary experiments to evaluate our method. In addition, we discuss several interesting challenges that can be considered in future work.",
keywords = "entity-relationship graph, graph, information retrieval, object retrieval, ranking model, recommender systems, similarity search",
author = "Minsuk Kahng and Sangkeun Lee and Lee, {Sang Goo}",
year = "2011",
doi = "10.1145/2065003.2065008",
language = "English",
isbn = "9781450309530",
series = "International Conference on Information and Knowledge Management, Proceedings",
pages = "11--18",
booktitle = "CIKM 2011 Glasgow",
note = "4th Workshop for Ph.D. Students in Information and Knowledge Management, PIKM'11 ; Conference date: 28-10-2011 Through 28-10-2011",
}