Jignesh Parmar

Title: Jignesh Parmar: Innovator in Textual Data Processing and Personalized Search

Introduction

Jignesh Parmar is a notable inventor based in Santa Clara, CA (US). He has made significant contributions to the fields of textual data processing and personalized search advertising. With a total of 2 patents, his work focuses on enhancing user experience through innovative methods.

Latest Patents

One of Jignesh's latest patents is titled "Method for filtering and semi-automatically labeling training data." This invention provides an efficient way to assign sentiments or other manual labels to textual training data. The method utilizes an embedding model to project user text into an embedding vector within an embedding space. By calculating distances, such as cosine similarities, between this vector and those of already-labeled user text, the method identifies the closest match. The label from the closest example can then be prospectively applied to the new text, allowing users to approve or modify the label before it is added to the training data.

Another significant patent is "Personalizing sponsored search advertising layout using user behavior history." This invention relates to methods for presenting personalized search results pages to users. It involves computing an engagement index based on the timing of user interactions with the search engine. In response to user queries, a personalized search results page is then presented, enhancing the overall search experience.

Career Highlights

Jignesh has worked with prominent companies such as Yahoo! Inc. and ServiceNow, Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in technology and data processing.

Collaborations

Throughout his career, Jignesh has collaborated with talented individuals, including Rajesh Girish Parekh and Pavel Berkhin. These collaborations have fostered a creative environment that has led to the development of impactful inventions.

Conclusion

Jignesh Parmar is a distinguished inventor whose work in textual data processing and personalized search has made a significant impact in the technology sector. His innovative patents reflect his commitment to enhancing user experiences through advanced methodologies.