Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts
This study considers how to quickly find the order in which to present a set of text artifacts on mobile apps or websites such that those artifacts are maximally semantically separated. Semantic separation is desirable because it ensures that users experience as much novelty as possible from one ite...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/1/59 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832588351954223104 |
|---|---|
| author | Daniel S. Soper |
| author_facet | Daniel S. Soper |
| author_sort | Daniel S. Soper |
| collection | DOAJ |
| description | This study considers how to quickly find the order in which to present a set of text artifacts on mobile apps or websites such that those artifacts are maximally semantically separated. Semantic separation is desirable because it ensures that users experience as much novelty as possible from one item to the next, thereby improving user attention and engagement. Since an exhaustive search of all possible sequences of text items becomes increasingly infeasible as the length of the sequence grows, a new algorithm is proposed to quickly find the semantically optimal presentation order for a set of text artifacts. The performance of the proposed algorithm is evaluated using an extensive set of experiments involving three different types of text artifacts, seven different sequence lengths, and more than 600 experimental trials. The results demonstrate that the proposed algorithm can select statistically optimal sequences of text artifacts extremely quickly, regardless of the type of text artifacts being used as input or the length of the sequence. App and website developers who are seeking to hold users’ attention and improve user engagement may therefore find the proposed algorithm very attractive in comparison to an exhaustive search. |
| format | Article |
| id | doaj-art-7d280087032349739ebda8eeaaf591af |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-7d280087032349739ebda8eeaaf591af2025-01-24T13:35:18ZengMDPI AGInformation2078-24892025-01-011615910.3390/info16010059Quickly Finding the Semantically Optimal Presentation Order for a Set of Text ArtifactsDaniel S. Soper0Department of Information Systems & Decision Sciences, California State University, Fullerton, CA 92831, USAThis study considers how to quickly find the order in which to present a set of text artifacts on mobile apps or websites such that those artifacts are maximally semantically separated. Semantic separation is desirable because it ensures that users experience as much novelty as possible from one item to the next, thereby improving user attention and engagement. Since an exhaustive search of all possible sequences of text items becomes increasingly infeasible as the length of the sequence grows, a new algorithm is proposed to quickly find the semantically optimal presentation order for a set of text artifacts. The performance of the proposed algorithm is evaluated using an extensive set of experiments involving three different types of text artifacts, seven different sequence lengths, and more than 600 experimental trials. The results demonstrate that the proposed algorithm can select statistically optimal sequences of text artifacts extremely quickly, regardless of the type of text artifacts being used as input or the length of the sequence. App and website developers who are seeking to hold users’ attention and improve user engagement may therefore find the proposed algorithm very attractive in comparison to an exhaustive search.https://www.mdpi.com/2078-2489/16/1/59text miningsemantic separationcontent presentation orderweb designapp designpagination |
| spellingShingle | Daniel S. Soper Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts Information text mining semantic separation content presentation order web design app design pagination |
| title | Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts |
| title_full | Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts |
| title_fullStr | Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts |
| title_full_unstemmed | Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts |
| title_short | Quickly Finding the Semantically Optimal Presentation Order for a Set of Text Artifacts |
| title_sort | quickly finding the semantically optimal presentation order for a set of text artifacts |
| topic | text mining semantic separation content presentation order web design app design pagination |
| url | https://www.mdpi.com/2078-2489/16/1/59 |
| work_keys_str_mv | AT danielssoper quicklyfindingthesemanticallyoptimalpresentationorderforasetoftextartifacts |