Image sequence sorting algorithm for commercial tasks

TL;DR

This paper introduces a new image sorting algorithm that improves user experience in virtual real estate platforms by arranging images in a coherent sequence.

Contribution

A novel algorithm using semantic similarity and genetic optimization for efficient image sequence sorting in real estate listings.

Findings

The algorithm successfully organizes images in an optimal sequence for 85% of real estate listings.

The method enhances user engagement through intuitive and visually coherent image arrangements.

A genetic algorithm optimizes semantic feature selection, improving sorting effectiveness.

Abstract

The sorting of sequences of images is crucial for augmenting user engagement in various virtual commercial platforms, particularly within the real estate sector. A coherent sequence of images respecting room type categorization significantly enhances the intuitiveness and seamless navigation of potential customers through listings.

This study methodically formalizes the challenge of image sequence sorting and expands its applicability by framing it as an ordering problem. The complexity lies in devising a universally applicable solution due to computational demands and impracticality of exhaustive searches for optimal sequencing. To tackle this, our proposed algorithm employs a shortest path methodology grounded in semantic similarity between images. Tailored specifically for the real estate sector, it evaluates diverse similarity metrics to efficiently arrange images. Additionally, we introduce a genetic algorithm to optimize the selection of semantic features considered by the algorithm, further enhancing its effectiveness.

Empirical evidence from our dataset demonstrates the efficacy of the proposed methodology. It successfully organizes images in an optimal sequence across 85% of the listings, showcasing its effectiveness in enhancing user experience in virtual commercial platforms, particularly in real estate.

This study presents a novel approach to sorting sequences of images in virtual commercial platforms, particularly beneficial for the real estate sector. The proposed algorithm effectively enhances user engagement by providing more intuitive and visually coherent image arrangements.

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