LifeSeeker 6.0: Leveraging the linguistic aspect of the lifelog system in LSC'24 Article Swipe
Hoang-Bao Le
,
Thao-Nhu Nguyen
,
Tu-Khiem Le
,
Minh–Triet Tran
,
Binh T. Nguyen
,
Van-Tu Ninh
,
Liting Zhou
,
Cathal Gurrin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3643489.3661121
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3643489.3661121
Supporting effective access to digital lifelogs is a challenging research task because of both the volume and variety of multimodal lifelog data, as well as the many and diverse types of information need that should be supported. In this paper, we introduce a new version of LifeSeeker called LifeSeeker 6.0, for the 2024 edition of the ACM Lifelog Search Challenge. Our enhancements include the improvements to the user interface and the backend reconstruction by combining the E-LifeSeeker structure with using contrastive learning between texts. These adjustments are aimed at accelerating the correlation between the huge image collection and the text input, thereby enhancing the retrieval accuracy and efficiency.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3643489.3661121
- https://dl.acm.org/doi/pdf/10.1145/3643489.3661121
- OA Status
- gold
- Cited By
- 11
- References
- 5
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- https://openalex.org/W4399778447
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4399778447Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3643489.3661121Digital Object Identifier
- Title
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LifeSeeker 6.0: Leveraging the linguistic aspect of the lifelog system in LSC'24Work title
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
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2024-06-10Full publication date if available
- Authors
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Hoang-Bao Le, Thao-Nhu Nguyen, Tu-Khiem Le, Minh–Triet Tran, Binh T. Nguyen, Van-Tu Ninh, Liting Zhou, Cathal GurrinList of authors in order
- Landing page
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https://doi.org/10.1145/3643489.3661121Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3643489.3661121Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3643489.3661121Direct OA link when available
- Concepts
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Lifelog, Computer science, Linguistics, Natural language processing, Speech recognition, Artificial intelligence, Human–computer interaction, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.learning | 81 |
| abstract_inverted_index.lifelogs | 5 |
| abstract_inverted_index.research | 9 |
| abstract_inverted_index.combining | 74 |
| abstract_inverted_index.effective | 1 |
| abstract_inverted_index.enhancing | 102 |
| abstract_inverted_index.interface | 68 |
| abstract_inverted_index.introduce | 41 |
| abstract_inverted_index.retrieval | 104 |
| abstract_inverted_index.structure | 77 |
| abstract_inverted_index.Challenge. | 59 |
| abstract_inverted_index.LifeSeeker | 46, 48 |
| abstract_inverted_index.Supporting | 0 |
| abstract_inverted_index.collection | 96 |
| abstract_inverted_index.multimodal | 19 |
| abstract_inverted_index.supported. | 36 |
| abstract_inverted_index.adjustments | 85 |
| abstract_inverted_index.challenging | 8 |
| abstract_inverted_index.contrastive | 80 |
| abstract_inverted_index.correlation | 91 |
| abstract_inverted_index.efficiency. | 107 |
| abstract_inverted_index.information | 31 |
| abstract_inverted_index.E-LifeSeeker | 76 |
| abstract_inverted_index.accelerating | 89 |
| abstract_inverted_index.enhancements | 61 |
| abstract_inverted_index.improvements | 64 |
| abstract_inverted_index.reconstruction | 72 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.94474995 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |