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Ranking objects by following paths in entity-relationship graphs

Published: 28 October 2011 Publication History

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.

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cover image ACM Conferences
PIKM '11: Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
October 2011
100 pages
ISBN:9781450309530
DOI:10.1145/2065003
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 October 2011

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Author Tags

  1. entity-relationship graph
  2. graph
  3. information retrieval
  4. object retrieval
  5. ranking model
  6. recommender systems
  7. similarity search

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