paper-with-me

홈 › Papers

Keyword Search Engine Enriched by Expert System Features

2020-08-28 · Olegs Verhodubs

Keyword search engines are essential elements of large information spaces. The largest information space is the Web, and keyword search engines play crucial role there. The advent of keyword search engines has provided a quantum leap in the development of the Web. Since then, the Web has continued to evolve, and keyword search systems have proven inadequate. A new quantum leap in the development of keyword search engines is needed. This quantum leap can be provided with more intellectual keyword search engines. The increased intelligence of such keyword search engines can be achieved through a combination of keyword search engines and expert systems. The paper reveals how it can be done.

📄 PDF Abstract BibTeX arXiv:2009.08958

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

2021-11-01 · Zongtao Liu, Bin Ma, Quan Liu, Jian Xu 외

Digital advertising is a critical part of many e-commerce platforms such as Taobao and Amazon. While in recent years a lot of attention has been drawn to the consumer side including canonical problems like ctr/cvr predic…

Graph Neural NetworkMarketingtext similarity

PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation

2023-07-18 · Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong, Sijia Wang 외

Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for des…

Prompt Engineering

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

2020-07-14 · EMNLP (sdp) 2020 11 · Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han 외

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. Our system has been online and…

Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis

2021-11-13 · M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Kamal Z. Zamli 외

Keywords perform a significant role in selecting various topic-related documents quite easily. Topics or keywords assigned by humans or experts provide accurate information. However, this practice is quite expensive in t…

Keyword ExtractionManagementRecommendation Systemstext similarity

SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines

2016-08-15 · Yumusak Semih, Dogdu Erdogan, Kodaz Halife, Kamilaris Andreas

In this study, a novel metacrawling method is proposed for discovering and monitoring linked data sources on the Web. We implemented the method in a prototype system, named SPARQL Endpoints Discovery (SpEnD). SpEnD start…