Web Personalisation based on User Interaction : Web Personalisation

Sakarkar, Sumit; Chaudhari, Vaibhav; Gaurkar, Tanmay; Veer, Aditya; Scet, Mayura Kulkarni

doi:10.1109/icicv50876.2021.9388384

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…Through literature, in-depth insights are offered on various web mining techniques optimized for webpage design and marketing enhancement [3]. Investigating techniques including opinion mining, sentiment analysis, clickstream analysis, and user behavior analysis, researchers aim to uncover patterns and trends that optimize website marketing effectiveness.…”

Section: Literature Reviewmentioning

confidence: 99%

The Potential of Web Mining in Business Predictive Analysis from Raw Data to Actionable Predictions

2023

IRJMETS

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This research paper explores the potential of web mining in business predictive analysis, focusing on the transformation of raw data into actionable predictions. The transformation of raw data into actionable predictions is explored in this research paper, which examines the potential of web mining in business analysis. With the growth of the internet and digital data, businesses can benefit by leveraging web mining tactics to collect valuable insights and make well-informed choices. Businesses can mine the web to find information from multiple sources, including websites, social media sites, and search engines, to help them predict their customers' actions, market developments, and competition intelligence. The paper covers the basics of web mining techniques and their applications in predictive business analysis, including future growth prospects.

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Section: Literature Reviewmentioning

confidence: 99%

The Potential of Web Mining in Business Predictive Analysis from Raw Data to Actionable Predictions

2023

IRJMETS

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“…In addition, as the software industry develops and expands, the demand for software systems that can adapt to individual user demands and interests also grows. Several factors are driving this need for personalization, including the large volumes of data that are currently available, users' increased expectations for personalized experiences, and the potential benefits of providing individualized software solutions [5][6][7][8]. However, effective software personalization necessitates the negotiation of considerable hurdles, such as maintaining huge and complicated datasets and building efficient and scalable algorithms.…”

Section: Introductionmentioning

confidence: 99%

Harnessing the Power of User-Centric Artificial Intelligence: Customized Recommendations and Personalization in Hybrid Recommender Systems

et al. 2023

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Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. Τhis paper presents a novel approach to providing customized recommendations with the use of user-centric artificial intelligence. In greater detail, we introduce an enhanced collaborative filtering (CF) approach in order to develop hybrid recommender systems that personalize search results for users. The proposed CF enhancement incorporates user actions beyond explicit ratings to collect data and alleviate the issue of sparse data, resulting in high-quality recommendations. As a testbed for our research, a web-based digital library, incorporating the proposed algorithm, has been developed. Examples of operation of the use of the system are presented using cognitive walkthrough inspection, which demonstrates the effectiveness of the approach in producing personalized recommendations and improving user experience. Thus, the hybrid recommender system, which is incorporated in the digital library, has been evaluated, yielding promising results.

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A smart switch to personalized web search

Rathod,

Narvekar

2023

WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics

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Web Personalisation based on User Interaction : Web Personalisation

Cited by 8 publications

References 4 publications

The Potential of Web Mining in Business Predictive Analysis from Raw Data to Actionable Predictions

The Potential of Web Mining in Business Predictive Analysis from Raw Data to Actionable Predictions

Harnessing the Power of User-Centric Artificial Intelligence: Customized Recommendations and Personalization in Hybrid Recommender Systems

A smart switch to personalized web search

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