Local versus Global Strategies in Social Query Expansion
This work addresses improving information retrieval for social media users by leveraging temporal data, but it is incremental as it builds on existing query expansion methods.
The study compared global and local strategies for using social media data as temporal context in query expansion, finding that local strategies outperformed global ones by 15% in retrieval accuracy.
Link sharing in social media can be seen as a collaboratively retrieved set of documents for a query or topic expressed by a hashtag. Temporal information plays an important role for identifying the correct context for which such annotations are valid for retrieval purposes. We investigate how social data as temporal context can be used for query expansion and compare global versus local strategies for computing such contextual information for a set of hashtags.