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Collecting user access patterns for building user profiles and collaborative filtering

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Ahmad M. Ahmad WasfiAuthors Info & Claims

IUI '99: Proceedings of the 4th international conference on Intelligent user interfaces

Pages 57 - 64

https://doi.org/10.1145/291080.291091

Published: 01 December 1998 Publication History

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Behera GNain N(2023)The State-of-the-Art and Challenges on Recommendation System’s: Principle, Techniques and Evaluation StrategySN Computer Science10.1007/s42979-023-02207-z4:5Online publication date: 3-Sep-2023
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Hasan SKhatwal R(2022)Cold Start Problem in Recommendation System: A Solution Model Based on Clustering and Association Rule Techniques2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)10.1109/IMPACT55510.2022.10029293(1-8)Online publication date: 26-Nov-2022
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Collecting user access patterns for building user profiles and collaborative filtering

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Information

Published In

IUI '99: Proceedings of the 4th international conference on Intelligent user interfaces

December 1998

205 pages

ISBN:1581130988

DOI:10.1145/291080

Chairmen:
Mark Maybury
MITRE Corp.
,
Pedro Szekely
USC/ISI
,
Christoph G. Thomas
GMD, Germany

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 1998

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IUI99

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IUI99: Intelligent User Interfaces

January 5 - 8, 1999

California, Los Angeles, USA

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IUI '99 Paper Acceptance Rate 21 of 70 submissions, 30%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Behera GNain N(2023)The State-of-the-Art and Challenges on Recommendation System’s: Principle, Techniques and Evaluation StrategySN Computer Science10.1007/s42979-023-02207-z4:5Online publication date: 3-Sep-2023
https://doi.org/10.1007/s42979-023-02207-z
Hasan SKhatwal R(2022)Cold Start Problem in Recommendation System: A Solution Model Based on Clustering and Association Rule Techniques2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)10.1109/IMPACT55510.2022.10029293(1-8)Online publication date: 26-Nov-2022
https://doi.org/10.1109/IMPACT55510.2022.10029293
Zhang YLi YWang RHossain MLu H(2021)Multi-Aspect Aware Session-Based Recommendation for Intelligent Transportation ServicesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.299021422:7(4696-4705)Online publication date: Jul-2021
https://doi.org/10.1109/TITS.2020.2990214
Sundermann CDomingues MSinoara RMarcacini RRezende S(2019)Using Opinion Mining in Context-Aware Recommender Systems: A Systematic ReviewInformation10.3390/info1002004210:2(42)Online publication date: 28-Jan-2019
https://doi.org/10.3390/info10020042
Chen CWang CChiang D(2019)Location-Based Hotel Recommendation SystemWireless Internet10.1007/978-3-030-06158-6_23(225-234)Online publication date: 5-Jan-2019
https://doi.org/10.1007/978-3-030-06158-6_23
da Silva ECamilo-Junior CPascoal LRosa T(2016)An evolutionary approach for combining results of recommender systems techniques based on collaborative filteringExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.12.05053:C(204-218)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.eswa.2015.12.050
Aggarwal CAggarwal C(2016)Ensemble-Based and Hybrid Recommender SystemsRecommender Systems10.1007/978-3-319-29659-3_6(199-224)Online publication date: 29-Mar-2016
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Li WNi YWu MYe ZJin Q(2014)Social Recommendation Algorithm Dynamically Adaptable to User Profiling for SNS2014 Second International Conference on Advanced Cloud and Big Data10.1109/CBD.2014.42(261-266)Online publication date: Nov-2014
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Cleger-Tamayo SFernández-Luna JHuete J(2012)Top-N news recommendations in digital newspapersKnowledge-Based Systems10.1016/j.knosys.2011.11.01727(180-189)Online publication date: 1-Mar-2012
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Recommendations

Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes

Generation of user profiles for information filtering — research agenda (poster session)

A Collaborative Filtering Algorithm Based on User Activity Level