Just Accepted
Enhancing Item-level Bundle Representation for Bundle Recommendation
Abstract
Bundle recommendation approaches offer users a set of related items on a particular topic. The current state-of-the-art (SOTA) method utilizes contrastive learning to learn representations at both the bundle and item levels. However, due to the inherent difference between the bundle-level and item-level preferences, the item-level representations may not receive sufficient information from the bundle affiliations to make accurate predictions. In this paper, we propose a novel approach EBRec, short of Enhanced Bundle Recommendation, which incorporates two enhanced modules to explore inherent item-level bundle representations. First, we propose to incorporate the bundle-user-item (B-U-I) high-order correlations to explore more collaborative information, thus to enhance the previous bundle representation that solely relies on the bundle-item affiliation information. Second, we further enhance the B-U-I correlations by augmenting the observed user-item interactions with interactions generated from pre-trained models, thus improving the item-level bundle representations. We conduct extensive experiments on three public datasets, and the results justify the effectiveness of our approach as well as the two core modules. Codes and datasets are available at https://github.com/answermycode/EBRec.
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Index Terms
- Enhancing Item-level Bundle Representation for Bundle Recommendation
Recommendations
Strategy-aware Bundle Recommender System
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalA bundle is a group of items that provides improved services to users and increased profits for sellers. However, locating the desired bundles that match the users' tastes still challenges us, due to the sparsity issue. Despite the remarkable performance ...
BRUCE: Bundle Recommendation Using Contextualized item Embeddings
RecSys '22: Proceedings of the 16th ACM Conference on Recommender SystemsA bundle is a pre-defined set of items that are collected together. In many domains, bundling is one of the most important marketing strategies for item promotion, commonly used in e-commerce. Bundle recommendation resembles the item recommendation task,...
A Survey of Researches on Personalized Bundle Recommendation Techniques
Machine Learning for Cyber SecurityAbstractThe recommender system is widely used in various fields such as movies, music, and products. It has been an effective method to handle the preference matching problem by retrieving the most relevant information and services from a large amount of ...
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Association for Computing Machinery
New York, NY, United States
Publication History
Online AM: 13 December 2023
Accepted: 19 November 2023
Revised: 22 September 2023
Received: 10 July 2023
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