@inproceedings{868e4e590a5045e0be5cd3054f417520,
title = "PathRank: A novel node ranking measure on a heterogeneous graph for recommender systems",
abstract = "In this paper, we present a novel random-walk based node ranking measure, PathRank, which is defined on a heterogeneous graph by extending the Personalized PageRank algorithm. Not only can our proposed measure exploit the semantics behind the different types of nodes and edges in a heterogeneous graph, but also it can emulate various recommendation semantics such as collaborative filtering, content-based filtering, and their combinations. The experimental results show that PathRank can produce more various and effective recommendation results compared to existing approaches.",
keywords = "flexibility, graph, heterogeneity, network, pagerank, personalized pagerank, ranking, recommender systems",
author = "Sangkeun Lee and Sungchan Park and Minsuk Kahng and Lee, {Sang Goo}",
year = "2012",
doi = "10.1145/2396761.2398488",
language = "English",
isbn = "9781450311564",
series = "ACM International Conference Proceeding Series",
pages = "1637--1641",
booktitle = "CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management",
note = "21st ACM International Conference on Information and Knowledge Management, CIKM 2012 ; Conference date: 29-10-2012 Through 02-11-2012",
}