Name
Abstract | ||
|---|---|---|
The majority of studies in Personalized Information Retrieval (PIR) literature have focused on monolingual IR, and only relatively little work has been done conceming multilingual IR. In this paper we propose a novel method to represent user models in a multilingual fashion. We argue that such representation would be more suitable for Personalized Multilingual Information Retrieval (PMIR). Furthermore, we outline two algorithms for query adaptation based on user information from the multilingual user model. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2047403.2047411 | PMHR@HT |
Keywords | Field | DocType |
personalized multilingual information retrieval,user information,multilingual fashion,novel method,personalized information retrieval,towards multilingual user model,multilingual ir,query adaptation,monolingual ir,multilingual user model,user model,user modeling,query expansion,personalization,information retrieval | World Wide Web,Query expansion,Information retrieval,Computer science,User information,User modeling,Personalization | Conference |
Citations | PageRank | References |
6 | 0.52 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Rami Ghorab | 1 | 69 | 8.08 |
| Dong Zhou | 2 | 342 | 25.99 |
| Ben Steichen | 3 | 239 | 16.43 |
| Vincent Wade | 4 | 6 | 0.52 |