Issues and Challenges of User Intent Discovery (UID) during Web Search

Hanna, Wael K.; Aseem, Aziza S.; Senousy, M. Badr

doi:10.5815/ijitcs.2015.07.08

Cited by 2 publications

(3 citation statements)

References 26 publications

(34 reference statements)

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“…Many conventional methods [22], [23], [27], [28] are proposed for web search has been developed using hybrid content-based collaborative filtering techniques, location preferences, and collaborative filtering with technical web content filtering based on support proposed options which are valued based on the recommendations on the website as shown in Fig.1. However, most users surf websites proxy name these methods suffer from a major disadvantage [5], and it is difficult to get their identities [3]. Based on user feedback, or to register their interest are some of the positive development in the customization system.…”

Section: Fig1 Conventional Web Customization Approachesmentioning

confidence: 99%

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Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering

Krishnaiah¹,

Narsimha²

2016

IJIEEB

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The massive growth of web consists of huge number of redundant information in related to some context. Due to which the need of information through a search provide high number of duplicate results which makes user to navigate number of sites to find the needed information. Users often miss their search pages when they browse the large and complex navigation of the web. Web customization is based on the use of the web logs can take advantage of the knowledge necessary to study the content and the structure of the internet to support. Searching information can be improvised in support of the implicit information generated by the web server in form logs for various web documents visited by users. This paper proposes a web search customization approach (WSCA) using redundant web usage data association and hierarchal clustering. Association generates a multilevel association for redundant data in the web navigation sites and clustering generates a cluster of frequent access patterns. The approach will improvise the real-time customization and also cost requirement for generating customized resources. The experiment evaluation shows an improvisation in precision rate in relevant to different queries against existing clustering approach..

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Section: Fig1 Conventional Web Customization Approachesmentioning

confidence: 99%

“…If a user clicks on a web page link, it is likely that the web page link is appropriate to the query, or at least related to some extent. Several applications have been proposed along this direction, such as term suggestion [9], query expansion [7], and clustering of query [5] [6].…”

Section: Related Workmentioning

confidence: 99%

Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering

Krishnaiah¹,

Narsimha²

2016

IJIEEB

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“…A lot of works look for semantics of the data or use semantics queries without revealing the imprecision at the queries level "Ref. [20,21,22]".…”

Section: A Decisional Requirements Analysis and Imprecision Treatmentmentioning

confidence: 99%

Fuzzy Ontology-based Approach for the Requirements Query Imprecision Assessment in Data Warehouse Design Process near Negative Fuzzy Operator

Abdelmadjid¹,

Malki²,

Boukhalfa³

et al. 2018

IJITCS

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Abstract-The vagueness in decision-making may be due to ambiguity in the decisional requirements expression. Therefore, in the literature dealing with vagueness in decision systems, studies were concentrated on data vagueness and not on decision requirements. In order to evaluate the expression in decision-making requirements and in order to improve the data warehouses design quality, this paper presents a rigorous fuzzy ontologybased solution.Based on the latest Zadeh theory "Ref.[1]", Authors in "Ref. [2.3]", propose a solution consisting in using ontologies to provide "an understanding of how the meaning of a proposal can be composed of the meaning of its constituents. One of the limitations of this solution is the fuzziness presence only at the adjective sentence. In some sense, our proposal can be seen as a continuation of that work. We limit our study, in this paper to the "Near negative" operator case. To the best of our knowledge, this case has not been addressed yet in the data warehouse context.

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Issues and Challenges of User Intent Discovery (UID) during Web Search

Cited by 2 publications

References 26 publications

Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering

Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering

Fuzzy Ontology-based Approach for the Requirements Query Imprecision Assessment in Data Warehouse Design Process near Negative Fuzzy Operator

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