Orbit Weighting Scheme in the Context of Vector Space Information Retrieval  

作　　者：Ahmad Ababneh Yousef Sanjalawe Salam Fraihat Salam Al-E’mari Hamzah Alqudah 

机构地区：[1]Department of Computer Science,Faculty of Information Technology,American University of Madaba,Amman,11821,Jordan [2]Department of Cybersecurity,Faculty of Information Technology,American University of Madaba,Amman,11821,Jordan [3]Artificial Intelligence Research Center(AIRC),College of Engineering and Information Technology,Ajman University,P.O.Box 346,Ajman,13306,United Arab Emirates [4]Information Security Department,Faculty of Information Technology,University of Petra,Amman,11196,Jordan [5]Department of Data Science and Artificial Intelligence,Faculty of Information Technology,American University of Madaba,Amman,11821,Jordan

出　　处：《Computers, Materials & Continua》2024年第7期1347-1379,共33页计算机、材料和连续体（英文）

摘　　要：This study introduces the Orbit Weighting Scheme(OWS),a novel approach aimed at enhancing the precision and efficiency of Vector Space information retrieval(IR)models,which have traditionally relied on weighting schemes like tf-idf and BM25.These conventional methods often struggle with accurately capturing document relevance,leading to inefficiencies in both retrieval performance and index size management.OWS proposes a dynamic weighting mechanism that evaluates the significance of terms based on their orbital position within the vector space,emphasizing term relationships and distribution patterns overlooked by existing models.Our research focuses on evaluating OWS’s impact on model accuracy using Information Retrieval metrics like Recall,Precision,InterpolatedAverage Precision(IAP),andMeanAverage Precision(MAP).Additionally,we assessOWS’s effectiveness in reducing the inverted index size,crucial for model efficiency.We compare OWS-based retrieval models against others using different schemes,including tf-idf variations and BM25Delta.Results reveal OWS’s superiority,achieving a 54%Recall and 81%MAP,and a notable 38%reduction in the inverted index size.This highlights OWS’s potential in optimizing retrieval processes and underscores the need for further research in this underrepresented area to fully leverage OWS’s capabilities in information retrieval methodologies.

关 键 词：Information retrieval orbit weighting scheme semantic text analysis Tf-Idf weighting scheme vector space model 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]