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Mining social networks for local search and location-based recommender systems.

, , , , and . Pers. Ubiquitous Comput., 23 (2): 179-180 (2019)

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Towards the Development of a Tool to Keep Track of Interesting Information in a Sea of Digital Documents: Short Paper (Work in Progress)., and . CERI, page 10:1-10:4. ACM, (2018)From Keywords to Queries: Discovering the User's Intended Meaning., , , and . WISE, volume 6488 of Lecture Notes in Computer Science, page 190-203. Springer, (2010)Pull-based recommendations in mobile environments., and . Comput. Stand. Interfaces, (2016)MAVSIM: Testing VANET Applications Based on Mobile Agents., and . Cognitive Vehicular Networks, CRC Press, (2016)Mining social networks for local search and location-based recommender systems., , , , and . Pers. Ubiquitous Comput., 23 (2): 179-180 (2019)Traffic and Pollution Modelling for Air Quality Awareness: An Experience in the City of Zaragoza., , and . SN Comput. Sci., 3 (4): 281 (2022)A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems., , , and . Int. J. Distributed Sens. Networks, (2015)Let My Car Alone: Parking Strategies with Social-Distance Preservation in the Age of COVID-19., and . EUSPN/ICTH, volume 177 of Procedia Computer Science, page 143-150. Elsevier, (2020)An Experimental Evaluation of Content-based Recommendation Systems: Can Linked Data and BERT Help?, , , , and . AICCSA, page 1-8. IEEE, (2020)Re-CoSKQ: Towards POIs Recommendation Using Collective Spatial Keyword Queries., , and . RecTour@RecSys, volume 2435 of CEUR Workshop Proceedings, page 42-45. CEUR-WS.org, (2019)