Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations

Sá, João; Marinho, Vanessa Queiroz; Magalhães, Ana Rita; Lacerda, Tiago; Gonçalves, Diogo

doi:10.1145/3477495.3531866

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…(2013) has revealed that usefulness is the most salient attribute of fashion information on websites. Given that offering diverse information on fashion-related IS can enhance the users’ shopping experience (Sá et al. , 2022), we focused on the factors of INFQ, specifically usefulness and diversity.…”

Section: Literature Reviewmentioning

confidence: 99%

Online VR store as a sustainable fashion retail space

Won,

Jung,

Lee

2024

IJRDM

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PurposeThe study applied the information system success model (ISSM) to investigate the influence of information system qualities (ISQs) on consumer responses related to sustainable fashion consumption in the context of comparing 3D VR store and 2D website.Design/methodology/approachThis study designed a questionnaire to measure five ISQs (usefulness, diversity, functionality, reliability and tangibility), immersion in messages and purchase intention. 270 data from women consumers of online fashion stores were collected using Macromill Embrain. Structural equation modeling with Amos 21 and process macro model 7 with SPSS 26 were used for analysis.FindingsThis study suggested the relevance of usefulness, diversity, reliability and tangibility among ISQs in evoking immersion in sustainable fashion messages and stimulating the purchase intention. In the moderation of website technology types, the effects of usefulness and tangibility on the immersion in sustainable fashion messages were stronger in 3D VR than 2D condition.Originality/valueThe study is meaningful as an initial study that identified the ISQs of online fashion stores by dividing the type of technology into 3D VR and 2D. We offer insights about the relevance and applicability of immersive VR technology in promoting sustainable fashion consumption and show the potential of online VR store as a new kind of sustainable fashion retail space.

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Section: Literature Reviewmentioning

confidence: 99%

Online VR store as a sustainable fashion retail space

Won,

Jung,

Lee

2024

IJRDM

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“…In recommender systems, there is a common task of multi-objective recommendation, such as ensuring both the relevance and the diversity of the retrieval. We drew inspiration from this (Sá et al, 2022) and design the Diverse Example Retrieval (DER) algorithm.…”

Section: Diversified Example Retrieval Strategymentioning

confidence: 99%

Exploring In-Context Learning for Knowledge Grounded Dialog Generation

Chen,

Wu,

2023

Findings of the Association for Computational Linguistics: EMNLP 2023

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Large neural-based dialog generation models have been applied in many real-life scenarios, yet they are prone to hallucination and tend to produce factually inaccurate outputs which raise great concerns. To alleviate this problem, we propose a plug-and-play retrieval-based framework IKA, which leverages in-context learning and retrieval techniques to enhance LLMs on knowledge grounded dialog generation. We design thorough experiments on a large-scale knowledge graph with 1M+ facts (Moon et al., 2019) to investigate the effectiveness and generalization of our framework. Experiments show that our method surpasses previous training-based SOTA by a large margin, specifically 46.67% in BLEU4, 26.01% in ROUGE-L, 122.90% in BARTScore and 30.50% in Entity Coverage F1. Further analysis shows promising abilities of LLMs to perform knowledge-intensive tasks, which is previously considered weak and understudied.

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