Situation-Aware User’s Interests Prediction for Query Enrichment

摘要: Situation-Aware User’s Interest Prediction aims at enhancing the information retrieval (IR) capabilities by expanding explicit user requests with implicit interests, to better meet individual needs. However, not all interests are same in situations, especially for case of a mobile environment. Thus, complex, dynamic, changing, and even contradictory. Consequently, they should be adapted user’s specific search context. In this paper, we introduce new approach that building dynamic representation semantic situation ongoing environment tasks. The is then used activate different classification rules past run time. Doing so, best interest class’s proposed expand request. Our makes use enrichment using Dbpedia, providing enriched descriptions situations involved discovering enabling definition effective means related contexts. Carried out experiments, undertaken versus Google search, emphasize relevance our proposal open many promising issues.