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Rapidly growing online podcast archives contain diverse content on a widerange of topics. These archives form an important resource for entertainmentand professional use, but their value can only be realized if users can rapidlyand reliably locate content of interest. Search for relevant content can bebased on metadata provided by content creators, but also on transcripts of thespoken content itself. Excavating relevant content from deep within these audiostreams for diverse types of information needs requires varying the approach tosystems prototyping. We describe a set of diverse podcast information needs anddifferent approaches to assessing retrieved content for relevance. We use theseinformation needs in an investigation of the utility and effectiveness of theseinformation sources. Based on our analysis, we recommend approaches forindexing and retrieving podcast content for ad hoc search.

Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search