Service recommendation for individual and process use
type: Dataset
description: Web services have been developed as an attractive paradigm for publishing, discovering and consuming services. They are loosely-coupled applications that can be run alone or be composed to create new value-added services. They can be consumed as individual services which provide a unique interface to receive inputs and return outputs; or they can be consumed as components to be integrated into business processes. We call the first consumption case individual use and the second case business process use. The requirement of specific tools to assist consumers in the two service consumption cases involves many researches in both academics and industry. On the one hand, many service portals and service crawlers have been developed as specific tools to assist users to search and invoke Web services for individual use. However, current approaches take mainly into account explicit knowledge presented by service descriptions. They make recommendations without considering data that reflect user interest and may require additional information from users. On the other hand, some business process mechanisms to search for similar business process models or to use reference models have been developed. These mechanisms are used to assist process analysts to facilitate business process design. However, they are labor-intense, error-prone, time-consuming, and may make business analyst confused. In our work, we aim at facilitating the service consumption for individual use and business process use using recommendation techniques. We target to recommend users services that are close to their interest and to recommend business analysts services that are relevant to an ongoing designed business process. To recommend services for individual use, we take into account the user's usage data which reflect the user's interest. We apply well-known collaborative filtering techniques which are developed for making recommendations. We propose five algorithms and develop a web-based application tha…
landing page: https://theses.hal.science/tel-00789726
identifier: NNT: 2012TELE0044
keyword: business-process-design
keyword: conception-de-processus-metier
keyword: contexte-de-voisinage
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-ohcomputer-science-csother-csoh
keyword: langage-de-requete
keyword: neighborhood-context
keyword: process-mining
keyword: processus-dextraction
keyword: query-language
keyword: recommandation-de-service
keyword: service-recommendation
keyword: theses
issued: 2026-05-14T10:10:37.779962
modified: 2026-05-14T10:10:37.779968
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Service recommendation for individual and process use
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00789726
issued: 2026-05-14T10:10:37.783696
modified: 2026-05-14T10:10:37.738431