Utilizing Linked Data Structures for Social-aware Search Applications
| dc.contributor.author | Langer, André | |
| dc.contributor.author | Krug, Michael | |
| dc.contributor.author | Moreno, Luis | |
| dc.contributor.author | Gaedke, Martin | |
| dc.contributor.editor | Eibl, Maximilian | |
| dc.contributor.editor | Gaedke, Martin | |
| dc.date.accessioned | 2017-08-28T23:47:26Z | |
| dc.date.available | 2017-08-28T23:47:26Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Improving the user experience and conversion rate by means of personalization is of major importance for modern e-commerce applications. Several publications in the past have already dealt with the topic of adaptive search result ranking and appropriate ranking metrics. Newer approaches also took personalized ranking attributes of a connected Social Web platform into account to form so called Social Commerce Applications. However, these approaches were often limited to data silos of closed-platform data providers and none of the contributions discussed the benefits of Linked Data in building social-aware e-commerce applications so far. Therefore, we present a first formalization of a scoring model for a social-aware search approach that takes user interaction from multiple social networks into account. In contrast to other existing solutions, our approach focuses on a Linked Data information management in order to easily combine social data from different social networks. We analyze the possible influence of friend activities to the relevance of a person’s search intent and how it can be combined with other ranking factors in a formalized scoring model. As a result, we implement a first demonstrator built upon RDF data to show how an application can present the user an adaptive search result list depending on the users’ current social context. | en |
| dc.identifier.doi | 10.18420/in2017_190 | |
| dc.identifier.isbn | 978-3-88579-669-5 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2017 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-275 | |
| dc.subject | Linked Data | |
| dc.subject | Social Networks | |
| dc.subject | Social Commerce | |
| dc.subject | Ranking Factors | |
| dc.subject | Scoring Model | |
| dc.title | Utilizing Linked Data Structures for Social-aware Search Applications | en |
| gi.citation.endPage | 1914 | |
| gi.citation.startPage | 1903 | |
| gi.conference.date | 25.-29. September 2017 | |
| gi.conference.location | Chemnitz | |
| gi.conference.sessiontitle | LEDSPLaY17 |
Dateien
Originalbündel
1 - 1 von 1