A Semantic Approach for User-Brand Targeting in On-Line Social Networks
We propose a general framework for the recommendation of possible customers (users) to advertisers (e.g., brands) based on the comparison between On-line Social Network profiles. In particular, we represent both user and brand profiles as trees where nodes correspond to categories and sub-categories in the associated On-line Social Network. When categories involve posts and comments, the comparison is based on word embedding, and this allows to take into account the similarity between topics popular in the brand profile and user preferences. Results on real datasets show that our approach is successfull in identifying the most suitable set of users to be used as target for a given advertisement campaign.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Social Media Ready Caption Generation for Brands
Social media advertisements are key for brand marketing, aiming to attract consumers with captivating captions and pictures or logos. While previous research has focused on generating captions for general images, incorpo…
Caption GenerationImage CaptioningMarketingBrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation
The rapid advancement of text-to-video (T2V) models has revolutionized content creation, yet their commercial potential remains largely untapped. We introduce, for the first time, the task of seamless brand integration i…
Text-to-Video GenerationAnalyzing users' sentiment towards popular consumer industries and brands on Twitter
Social media serves as a unified platform for users to express their thoughts on subjects ranging from their daily lives to their opinion on consumer brands and products. These users wield an enormous influence in shapin…
Sentiment AnalysisThe Impact of Perceptions of Social Media Advertisements on Advertising Value, Brand Awareness and Brand Associations: Research on Generation Y Instagram Users
The aim of this paper is to examine how consumer perceptions of social media advertisements affect advertising value and brand awareness. With a rapid increase in the number of social media users over the last ten years,…
Decision MakingIdentifying the $k$ Best Targets for an Advertisement Campaign via Online Social Networks
We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood …