Performance comparison of various information retrieval models used in search engines

Raman, Shivangi; Chaurasiya, Vijay Kumar; Venkatesan, S.

doi:10.1109/iccict.2012.6398124

Cited by 13 publications

(5 citation statements)

References 13 publications

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“…The Boolean model works on accurate match, but it does not provide an answer when the user is unsure of what he wants to retrieve. Similarly, the VSM and the probabilistic model both have their own unique method of achieving partial matching in data acquisition [16]. It's an important element of search engines to offer a diversity of outcomes results to users because it is impossible to determine the user's specific intent all at once.…”

Section: Bayesian Inference Netwrokmentioning

confidence: 99%

Classical and Probabilistic Information Retrieval Techniques: An Audit

Abbas

2021

Research Journal Of Computer Science And Information Technology

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Information retrieval is acquiring particular information from large resources and presenting it according to the user’s need. The incredible increase in information resources on the Internet formulates the information retrieval procedure, a monotonous and complicated task for users. Due to over access of information, better methodology is required to retrieve the most appropriate information from different sources. The most important information retrieval methods include the probabilistic, fuzzy set, vector space, and boolean models. Each of these models usually are used for evaluating the connection between the question and the retrievable documents. These methods are based on the keyword and use lists of keywords to evaluate the information material. In this paper, we present a survey of these models so that their working methodology and limitations are discussed. This is an important understanding because it makes possible to select an information retrieval technique based on the basic requirements. The survey results showed that the existing model for knowledge recovery is somewhere short of what was planned. We have also discussed different areas of IR application where these models could be used.

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Section: Bayesian Inference Netwrokmentioning

confidence: 99%

Classical and Probabilistic Information Retrieval Techniques: An Audit

Abbas

2021

Research Journal Of Computer Science And Information Technology

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“…A catchphrase-based inquiry technique utilized to recover the significant content record of the ordered content documents that are important for the client. Other than that, Information retrieval models have been utilized not just in the retrieval of content archives from different computerization systems, yet have likewise been utilized as a part of different fields of common dialect preparing [11][12][13]. Other than that, Hiemstraan (2009) said information retrieval system is a product program that stores and oversees data on archives, frequently printed reports yet potentially sight and sound [14].…”

Section: Information Retrievalmentioning

confidence: 99%

Quranic verse finder: a tool for speech preparation using quranic verses

Aziz

Azni

Abbas

et al. 2020

IJEECS

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<span>This paper presents a mobile application called the Quranic Verse Finder. The main idea of this study is to develop a mobile application to help preachers in preparing their speech text. Based on preliminary investigation, the minimum time for a preacher to prepare a speech for a given topic is 3 hours. This process is very time consuming since the speech needs to refer to different source of reference such as the Quran and Hadith. The existing Quran search on the website or mobile application are from unknown source of reference. Therefore, to solve the problems mentioned above, this application offers an efficient method to search and identify any Quran verses for reference. With this application, the user can identify the juz number, the name of the Surah, which number of verses in the Surah and the meaning of the verses of a specific verse. The Quranic Verse Finder is different from other existing Quran Search applications due to its bilanguage feature. This application provides Malay and English translation. It also has other special features such as Bookmark that allows specific Quran verse to be saved for later reference. Moreover, due to the current trends, the Quranic Verse Finder allows user to share it using popular social media sites such as Facebook and Twitter.</span>

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“…It is clear, that identification of token is important and critical aspect of IR model. Tokenization is a process of identification of token/topics within input documents and it helps to reduced search with significant degree [5]. The secondary advantage of tokenization in effective use of storage space, as it reduces the storage spaces required to store tokens identified from input documents [14].…”

Section: Introductionmentioning

confidence: 99%