Proceedings of the Second ACM International Conference on Web Search and Data Mining
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
CrowdTiles: presenting crowd-based information for event-driven information needs
Proceedings of the 21st ACM international conference on Information and knowledge management
Temporal variance of intents in multi-faceted event-driven information needs
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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To cope with the uncertainty involved with ambiguous or underspecified queries, search engines often diversify results to return documents that cover multiple interpretations, e.g. the car brand, animal or operating system for the query 'jaguar'. Current diversity evaluation measures take the popularity of the subtopics into account and aim to favour systems that promote most popular subtopics earliest in the result ranking. However, this subtopic popularity is assumed to be static over time. In this paper, we hypothesise that temporal subtopic popularity change is common for many topics and argue this characteristic should be considered when evaluating diversity. Firstly, to support our hypothesis we analyse temporal subtopic popularity changes for ambiguous queries through historic Wikipedia article viewing statistics. Further, by simulation, we demonstrate the impact of this temporal intent variability on diversity evaluation.