Search Results - "memory-based algorithms"

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  1. 1

    Applying landmarks to enhance memory-based collaborative filtering by Lima, Gustavo R., Mello, Carlos E., Lyra, Adria, Zimbrao, Geraldo

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.03.2020
    Published in Information sciences (01.03.2020)
    “…Memory-based Collaborative Filtering (CF) has been a widely used approach for personalised recommendation with considerable success in many applications. An…”
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    Journal Article
  2. 2

    An efficient memory-based electromagnetism-like mechanism for the redundancy allocation problem by Teimouri, Mohammad, Zaretalab, Arash, Niaki, S.T.A., Sharifi, Mani

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.01.2016
    Published in Applied soft computing (01.01.2016)
    “…•An efficient MBEM is proposed to solve the redundancy allocation problem.•MBEM employs a memory matrix in local search to save the features of good…”
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    Journal Article
  3. 3

    Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem by Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

    Published: IEEE 01.07.2020
    “…In this paper, we propose an enhanced feature selection algorithm able to cope with feature drift problem that may occur in data streams, where the set of…”
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    Conference Proceeding
  4. 4

    Solving the energy-efficient Robotic Mixed-Model Assembly Line balancing problem using a Memory-Based Cuckoo Search Algorithm by Belkharroubi, Lakhdar, Yahyaoui, Khadidja

    ISSN: 0952-1976
    Published: Elsevier Ltd 01.09.2022
    “…Minimizing energy consumption is an important issue in robotic assembly lines where a set of robots are assigned to a set of workstations to perform different…”
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    Journal Article
  5. 5

    A Collaborative Filtering Recommendation Algorithm for Social Interaction by Zhang, Jinglong, Huang, Mengxing, Zhang, Yu

    Published: IEEE 01.11.2017
    “…When the traditional collaborative filtering algorithm faces high sparse data, its precision and quality of recommendation become unsatisfied. With the…”
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    Conference Proceeding