A Hybrid Recommendation Framework for Enhancing User Engagement in Local News

Payam Pourashraf; Bamshad Mobasher

doi:10.1007/978-3-032-13184-3_7

A Hybrid Recommendation Framework for Enhancing User Engagement in Local News

Payam Pourashraf
, Bamshad Mobasher

DePaul University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	HCI International 2025 – Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings
Editors	Helmut Degen, Stavroula Ntoa
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	115-130
Number of pages	16
ISBN (Print)	9783032131836
DOIs	https://doi.org/10.1007/978-3-032-13184-3_7
State	Published - 2026
Event	Late breaking papers from the 27th International Conference on Human-Computer Interaction, HCI International 2025 - Gothenburg, Sweden Duration: Jun 22 2025 → Jun 27 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	16345 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Late breaking papers from the 27th International Conference on Human-Computer Interaction, HCI International 2025
Country/Territory	Sweden
City	Gothenburg
Period	6/22/25 → 6/27/25

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Local News
News Recommendation
Personalization

Access to Document

10.1007/978-3-032-13184-3_7

Cite this

Pourashraf, P., & Mobasher, B. (2026). A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. In H. Degen, & S. Ntoa (Eds.), HCI International 2025 – Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings (pp. 115-130). (Lecture Notes in Computer Science; Vol. 16345 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-13184-3_7

A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. / Pourashraf, Payam; Mobasher, Bamshad.
HCI International 2025 – Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings. ed. / Helmut Degen; Stavroula Ntoa. Springer Science and Business Media Deutschland GmbH, 2026. p. 115-130 (Lecture Notes in Computer Science; Vol. 16345 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pourashraf, P & Mobasher, B 2026, A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. in H Degen & S Ntoa (eds), HCI International 2025 – Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings. Lecture Notes in Computer Science, vol. 16345 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 115-130, Late breaking papers from the 27th International Conference on Human-Computer Interaction, HCI International 2025, Gothenburg, Sweden, 6/22/25. https://doi.org/10.1007/978-3-032-13184-3_7

Pourashraf P, Mobasher B. A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. In Degen H, Ntoa S, editors, HCI International 2025 – Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 115-130. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-13184-3_7

Pourashraf, Payam ; Mobasher, Bamshad. / A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. HCI International 2025 – Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings. editor / Helmut Degen ; Stavroula Ntoa. Springer Science and Business Media Deutschland GmbH, 2026. pp. 115-130 (Lecture Notes in Computer Science).

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