Name
Abstract | ||
|---|---|---|
Content-based implicit user modeling techniques usually employ traditional term vector as a representation of the user's interest. However, due to the problem of dimensionality in vector space model, a simple term vector is not a sufficient representation of the user model as it ignores the semantic relations between terms. In this paper, we present a novel method to enhance a traditional term-based user model with the WordNet-based semantic similarity techniques. To achieve this, we utilize word definitions and relationship hierarchies in WordNet to perform word sense disambiguation and employ domain-specific concepts as category labels for the derived user models. We tested our method on Windows to the Universe, a public educational website covering subjects in the Earth and Space Science and performed an evaluation of our semantically enhanced user models against human judgment. Our approach is distinguishable from existing work because we automatically narrow down the set of domain specific concepts from an initial domain concepts obtained from Wikipedia and because we automatically create semantically enhanced user model. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1244002.1244291 | ACM Symposium on Applied Computing |
Keywords | Field | DocType |
implicit user modeling,content-based user modeling,semantic techniques,wordnet-based semantic similarity technique,simple term vector,traditional term vector,initial domain concept,vector space model,domain specific concept,semantically enhanced user modeling,content-based implicit user modeling,semantically enhanced user model,user model,traditional term-based user model,semantic similarity | Semantic similarity,Information retrieval,Computer science,Human judgment,Curse of dimensionality,Natural language processing,User modeling,Artificial intelligence,Vector space model,WordNet,Hierarchy,Word-sense disambiguation | Conference |
ISBN | Citations | PageRank |
1-59593-480-4 | 6 | 0.60 |
References | Authors | |
28 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Palakorn Achananuparp | 1 | 302 | 23.16 |
| Hyoil Han | 2 | 703 | 44.43 |
| Olfa Nasraoui | 3 | 1515 | 164.53 |
| Roberta Johnson | 4 | 8 | 0.99 |