Ontology-Based User Profiles for Search and Browsing

Susan Gauch, Jason Chaffee, Alexander Pretschner

2002 · 54 citations · 38 references

Concepts

TL;DR

The growing volume of web content makes it increasingly hard for users to locate relevant documents, as browsing large concept hierarchies or searching yields many irrelevant results presented identically to all users. The study aims to adapt information navigation using a weighted concept hierarchy user profile. The approach lets users build or have automatically generated weighted concept hierarchies—either manually or via an ontology‑based watch‑over method—and applies them to browsing or to concept‑based search. Automatically generated profiles accurately capture user interests and yield moderate improvements in search results.

Abstract

As the number of Internet users and the number of accessible Web pages grows, it is becoming increasingly difficult for users to find documents that are relevant to their particular needs. Users must either browse through a large hierarchy of con cepts to find the information for which they are looking or submit a query to a publicly available search engine and wade through hundreds of results, most of them irrelevant. The core of the problem is that whether the user is browsing or searching, whet her they are an eighth grade student or a Nobel prize winner, the identical information is selected and it is presented the same way. In this paper, we report on research that adapts information navigation based on a user profile structured as a weighted concept hierarchy. A user may create his or her own concept hierarchy and use them for browsing Web sites. Or, the user profile may be created from a reference ontology by ‘watching over the user’s shoulder’ while they browse. We show that these automati cally created profiles reflect the user’s interests quite well and they are able to produce moderate improvements when applied to search results. Current work is investigating the interaction between the user profiles and conceptual search wherein documents are indexed by their concepts in addition to their keywords.

References

38