H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 5,717 222 World Ranking 6864 National Ranking 108

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

Martha Larson spends much of her time researching Information retrieval, Collaborative filtering, Artificial intelligence, Recommender system and Data mining. Her Information retrieval research incorporates elements of Metadata, World Wide Web and Social network. Her research investigates the connection between Collaborative filtering and topics such as Context that intersect with issues in Similarity measure.

Her studies in Artificial intelligence integrate themes in fields like Machine learning, Multimedia and Natural language processing. Her research integrates issues of Novelty and Bayesian probability in her study of Recommender system. Her studies deal with areas such as Ranking, Leverage and Automatic summarization as well as Data mining.

Her most cited work include:

  • Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges (520 citations)
  • CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering (230 citations)
  • List-wise learning to rank with matrix factorization for collaborative filtering (193 citations)

What are the main themes of her work throughout her whole career to date?

Her scientific interests lie mostly in Artificial intelligence, Information retrieval, Multimedia, World Wide Web and Recommender system. Her Artificial intelligence research integrates issues from Natural language processing, Speech recognition, Ranking, Machine learning and Pattern recognition. Her work on Query expansion, Search engine and Ranking as part of her general Information retrieval study is frequently connected to Coherence, thereby bridging the divide between different branches of science.

Martha Larson interconnects Field, Speech analytics, Social media and Conjunction in the investigation of issues within Multimedia. In the subject of general World Wide Web, her work in Crowdsourcing, Information needs and The Internet is often linked to Benchmarking and Engineering, thereby combining diverse domains of study. She works in the field of Recommender system, namely Collaborative filtering.

She most often published in these fields:

  • Artificial intelligence (30.77%)
  • Information retrieval (27.27%)
  • Multimedia (28.32%)

What were the highlights of her more recent work (between 2018-2021)?

  • Artificial intelligence (30.77%)
  • Adversarial system (3.85%)
  • Recommender system (21.68%)

In recent papers she was focusing on the following fields of study:

Her primary scientific interests are in Artificial intelligence, Adversarial system, Recommender system, Information retrieval and Multimedia. Her research in Artificial intelligence intersects with topics in Machine learning, Computer vision and Pattern recognition. Her Recommender system research is multidisciplinary, incorporating perspectives in Data mining, Moderation, Ranking, Harm and Internet privacy.

Her Data mining research is multidisciplinary, incorporating elements of Collaborative filtering, Bayesian probability and Synthetic data. Martha Larson combines subjects such as Plot, Narrative and Social network with her study of Information retrieval. Martha Larson has included themes like Column and Personally identifiable information in her Multimedia study.

Between 2018 and 2021, her most popular works were:

  • Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance (21 citations)
  • Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval (14 citations)
  • Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines (10 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • The Internet
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Adversarial system, Computer vision, Information retrieval and Artificial neural network. Her work in the fields of Artificial intelligence, such as Color vision, intersects with other areas such as Transformation. Her biological study spans a wide range of topics, including RGB color model, Visualization and Pattern recognition.

In general Computer vision study, her work on Pixel and Image often relates to the realm of Filter and Color gel, thereby connecting several areas of interest. Her studies deal with areas such as Narrative and Social network as well as Information retrieval. Her Artificial neural network research is multidisciplinary, incorporating perspectives in Manner of articulation, Class, Consonant, Vowel and Representation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges

Yue Shi;Martha Larson;Alan Hanjalic.
ACM Computing Surveys (2014)

742 Citations

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson.
conference on recommender systems (2012)

371 Citations

List-wise learning to rank with matrix factorization for collaborative filtering

Yue Shi;Martha Larson;Alan Hanjalic.
conference on recommender systems (2010)

275 Citations

TFMAP: optimizing MAP for top-n context-aware recommendation

Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson.
international acm sigir conference on research and development in information retrieval (2012)

256 Citations

Automatic tagging and geotagging in video collections and communities

Martha Larson;Mohammad Soleymani;Pavel Serdyukov;Stevan Rudinac.
international conference on multimedia retrieval (2011)

136 Citations

Tags as bridges between domains: improving recommendation with tag-induced cross-domain collaborative filtering

Yue Shi;Martha Larson;Alan Hanjalic.
international conference on user modeling adaptation and personalization (2011)

123 Citations

Crowdsourcing for Affective Annotation of Video: Development of a Viewer-reported Boredom Corpus

Mohammad Soleymani;Martha Larson.
(2010)

119 Citations

Pairwise geometric matching for large-scale object retrieval

Xinchao Li;Martha Larson;Alan Hanjalic.
computer vision and pattern recognition (2015)

118 Citations

Cross-Domain Collaborative Filtering with Factorization Machines

Babak Loni;Yue Shi;Martha Larson;Alan Hanjalic.
european conference on information retrieval (2014)

116 Citations

Mining mood-specific movie similarity with matrix factorization for context-aware recommendation

Yue Shi;Martha Larson;Alan Hanjalic.
Proceedings of the Workshop on Context-Aware Movie Recommendation (2010)

113 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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