مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Seminar Paper

Title

REINFORCEMENT LEARNING BASED SEARCH (RLS) ALGORITHM IN SOCIAL NETWORKS

Pages

  -

Abstract

 GROWTH OF SOCIAL NETWORK ANALYSIS AS AN ACADEMIC FIELD HAS COINCIDED WITH AN EXPLOSION IN POPULAR INTEREST IN SOCIAL NETWORKS. EXPERT FINDING IS ONE OF THE MOST IMPORTANT SUBJECTS FOR MINING FROM SOCIAL NETWORKS SEARCHING FOR THE RIGHT PERSONS WITH THE APPROPRIATE SKILLS AND KNOWLEDGE. THE RLS ALGORITHM EXPLOITED Q-LEARNING AND REFERRALS TO FIND EXPERTS IN SOCIAL NETWORK TO SEARCH EXPERT IN SOCIAL NETWORK. COMPARISON OF RLS WITH SIMPLE SEARCH ALGORITHM, REFERRAL ALGORITHM AND SNPAGERANK SHOWS INCREASE IN BOTH PRECISION AND RECALL. RLS LEARNS TO FIND NEW EXPERTS AS OLD EXPERTS SUBSTITUTE THEIR ROLE WITH NEW ONES DUE TO CHANGES IN SOCIAL NETWORK ENVIRONMENT.

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  • Cite

    APA: Copy

    PEYRAVI, FARZAD, DERHAMI, VALI, & LATIF, ALIMOHAMMAD. (2015). REINFORCEMENT LEARNING BASED SEARCH (RLS) ALGORITHM IN SOCIAL NETWORKS. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). SID. https://sid.ir/paper/927505/en

    Vancouver: Copy

    PEYRAVI FARZAD, DERHAMI VALI, LATIF ALIMOHAMMAD. REINFORCEMENT LEARNING BASED SEARCH (RLS) ALGORITHM IN SOCIAL NETWORKS. 2015. Available from: https://sid.ir/paper/927505/en

    IEEE: Copy

    FARZAD PEYRAVI, VALI DERHAMI, and ALIMOHAMMAD LATIF, “REINFORCEMENT LEARNING BASED SEARCH (RLS) ALGORITHM IN SOCIAL NETWORKS,” presented at the INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). 2015, [Online]. Available: https://sid.ir/paper/927505/en

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