RT Journal Article T1 Query-Based Versus Resource-Based Cache Strategies in Tag-Based Browsing Systems A1 Gayoso Cabada, Joaquín A1 Gómez Albarrán, M. De Las Mercedes A1 Sierra Rodríguez, José Luis AB Tag-based browsing is a popular interaction model for navigating digital libraries. According to this model, users select descriptive tags to filter resources in the collections. Typical implementations of the model are based on inverted indexes. However, these implementations can require a considerable amount of set operations to update the browsing state. To palliate this inconven-ience, it is possible to adopt suitable cache strategies. In this paper we describe and compare two of these strategies: (i) a query-based strategy, according to which previously computed browsing states are indexed by sets of selected tags; and (ii) a resource-based strategy, according to which browsing states are in-dexed by sets of filtered resources. Our comparison focused on runtime perfor-mance, and was carried out empirically, using a real-world web-based collec-tion in the field of digital humanities. The results obtained show that the re-source-based strategy clearly outperforms the query-based one. PB Springer SN 9783030042561 SN 9783030042578 SN 1611-3349 YR 2018 FD 2018-11-15 LK https://hdl.handle.net/20.500.14352/117375 UL https://hdl.handle.net/20.500.14352/117375 LA eng NO J. Gayoso-Cabada, M. Gómez-Albarrán, y J.-L. Sierra, «Query-Based Versus Resource-Based Cache Strategies in Tag-Based Browsing Systems», en Maturity and Innovation in Digital Libraries, vol. 11279, M. Dobreva, A. Hinze, y M. Žumer, Eds., Cham: Springer International Publishing, 2018, pp. 41-54. doi: 10.1007/978-3-030-04257-8_4. DS Docta Complutense RD 16 abr 2025