Technological emergence in the area of personalised advertisement using emergence scoring and topic modelling based on patent data

With the advent of internet, online advertisement has come a long way with personalisation based on user habits, history, etc. as compared to generalised advertisements which many times were considered as spams. The development of sophisticated algorithms and availability of data helps in identification of emerging technologies which in turn can aid technology forecasting and better decision making. Patent is an important techno-legal tool to protect innovations. The developmental aspect of a technology can be studied using patent documents. The current study uses patent dataset to analyse and evaluate patents in the field of personalised advertisement, provides state of the art and also identifies emergent concepts in this domain. The study highlights that the emergence of artificial intelligence and deep learning would drive personalisation along with user interface which may play an important role in customised content delivery as well as user experience for interactive and immersive personalised advertisement.

Authors

Institutions

Publication Details

Journal
International Journal of Internet Marketing and Advertising
Published
2025-01-01
DOI
https://doi.org/10.1504/ijima.2025.148677
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technological emergence in the area of personalised advertisement using emergence scoring and topic modelling based on patent data

Nishad Deshpande, Alok Khode, Shabib Ahmed Shaikh
International Journal of Internet Marketing and Advertising
Computational and Text Analysis Methods
article

Technological emergence in the area of personalised advertisement using emergence scoring and topic modelling based on patent data

Nishad Deshpande, Alok Khode, Shabib Ahmed Shaikh
article en

Abstract

With the advent of internet, online advertisement has come a long way with personalisation based on user habits, history, etc. as compared to generalised advertisements which many times were considered as spams. The development of sophisticated algorithms and availability of data helps in identification of emerging technologies which in turn can aid technology forecasting and better decision making. Patent is an important techno-legal tool to protect innovations. The developmental aspect of a technology can be studied using patent documents. The current study uses patent dataset to analyse and evaluate patents in the field of personalised advertisement, provides state of the art and also identifies emergent concepts in this domain. The study highlights that the emergence of artificial intelligence and deep learning would drive personalisation along with user interface which may play an important role in customised content delivery as well as user experience for interactive and immersive personalised advertisement.

International Journal of Internet Marketing and AdvertisingVol. 23(3)
Unit for Research and Development of Information Products (IN)
Openalex Percentile: Top 64%
Computational and Text Analysis Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Technological emergence in the area of personalised advertisement using emergence scoring and topic modelling based on patent data — Nishad Deshpande, Alok Khode, et al. · International Journal of Internet Marketing and Advertising (2025) | TGRS Research Map | TGRS