{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854049","patent":{"patent_number":"US-9854049","title":"Systems and methods for resolving ambiguous terms in social chatter based on a user profile","assignee":null,"inventors":[],"filing_date":"2015-01-30T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","H04L"],"num_claims":20,"abstract":"Systems and methods are disclosed herein to provide information to a user based on a symbol with a plurality of interpretations. Each candidate interpretation for the symbol is identified and compared to an attribute of a user profile. The meaning of the symbol is determined and the user profile is updated with the meaning of the symbol. This meaning may be used to provide relevant information to the user."},"analysis":{"summary":"Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile introduces a novel approach to understanding user intent in online communication. The core innovation lies in its ability to identify and resolve ambiguous terms by comparing candidate interpretations to attributes within a user's profile. This addresses the problem of misinterpreting user intent in social media posts, comments, and messages, which can lead to irrelevant content, ineffective advertising, and negative user experiences.\n\nThe technical approach involves analyzing the context in which the ambiguous term appears, as well as the user's profile data, including their interests, past interactions, and demographic information. By comparing these candidate interpretations to the user's profile, the system can determine the most likely meaning of the term and update the user profile accordingly. This updated profile then enables the delivery of more relevant and personalized information to the user.\n\nThe business value of this technology is significant. By accurately interpreting user intent, businesses can improve targeted advertising, enhance content recommendations, and foster stronger customer relationships. The market opportunity is vast, as the need for effective communication and personalized experiences continues to grow in the digital age. This technology has the potential to revolutionize how businesses interact with their customers online, leading to increased engagement, higher conversion rates, and improved customer loyalty.","layman_explanation":"Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile addresses a fundamental challenge in online communication: the problem of ambiguity. In simple terms, ambiguity occurs when a word or phrase can have multiple meanings, leading to potential misunderstandings. This is particularly prevalent in social media and online forums, where informal language, slang, and context-dependent terms are common.\n\nExisting solutions often fall short because they rely on generic natural language processing techniques that fail to account for individual user preferences and context. These systems may misinterpret user intent, leading to irrelevant content recommendations, ineffective advertising, and even negative user experiences. The Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile works by leveraging user profile data to contextualize ambiguous terms. Instead of relying solely on the literal meaning of a word or phrase, the system analyzes a user's interests, past interactions, and demographic information to determine the most likely intended meaning. Imagine you post about \"jaguar.\" Does that mean the animal, the car, or the sports team? This system will look at what else you like - cars, nature, sports - to work it out.\n\nThis matters because it enables more personalized and relevant online experiences. By accurately interpreting user intent, businesses can deliver targeted content, improve advertising effectiveness, and foster stronger customer relationships. The market impact is significant, as personalized experiences are increasingly valued by consumers. Companies that can effectively leverage this technology will gain a competitive advantage, driving increased engagement, higher conversion rates, and improved customer loyalty. The potential ROI is substantial, as personalized experiences are proven to drive revenue growth and reduce customer churn.\n\nIn the future, Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile could be integrated into a wide range of online platforms and applications, including social media networks, e-commerce websites, and customer service portals. As the demand for personalized experiences continues to grow, this technology is poised to become an essential tool for businesses seeking to engage effectively with their customers online. Market adoption is expected to accelerate as companies recognize the tangible benefits of accurately interpreting user intent. This technology will greatly impact the market.","technical_analysis":"Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile presents a system designed to improve the accuracy of information delivery by resolving ambiguous terms found in social media. The technical architecture hinges on a multi-stage process. First, the system ingests social chatter data, typically from social media APIs or similar sources. An ambiguity detection module then identifies terms with multiple potential interpretations. This module likely employs natural language processing (NLP) techniques, such as part-of-speech tagging and named entity recognition, to flag potentially ambiguous words or phrases.\n\nThe key innovation lies in the user profile analysis module. This component accesses and analyzes user profile data, including demographic information, interests, past interactions, and social connections. The system then generates candidate interpretations for each ambiguous term. These interpretations are compared against the user profile using a scoring algorithm. The algorithm assigns a score to each interpretation based on its relevance to the user's profile. For example, if a user's profile indicates an interest in technology, the interpretation of \"apple\" as Apple Inc. would receive a higher score than the interpretation of \"apple\" as the fruit.\n\nAfter scoring, the system determines the most likely meaning of the ambiguous term based on the highest score. The user profile is then updated with this meaning, allowing the system to refine its interpretations over time. This feedback loop enhances the system's accuracy and personalization capabilities. The implementation of this system likely involves a combination of programming languages, such as Python for NLP tasks and Java or C++ for performance-critical components. Integration with existing social media platforms would require the use of their respective APIs. The performance characteristics of the system depend on the efficiency of the NLP algorithms and the scalability of the user profile database. Code-level implications include the need for robust error handling and data validation to ensure the accuracy of the interpretations.","business_analysis":"Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile offers a significant market opportunity within the realm of social media, online advertising, and personalized content delivery. The core value proposition lies in its ability to enhance the accuracy and relevance of information provided to users, leading to improved engagement, higher conversion rates, and stronger customer loyalty. The market opportunity size is substantial, as the need for effective communication and personalized experiences continues to grow in the digital age. Social media platforms, e-commerce companies, and online advertising agencies all stand to benefit from this technology.\n\nThe competitive advantages of Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile stem from its unique approach to ambiguity resolution. By leveraging user profile data, the system can provide more accurate and personalized interpretations of ambiguous terms, differentiating it from traditional NLP-based approaches. The revenue potential is multifaceted. Social media platforms can generate revenue through increased user engagement and more effective advertising. E-commerce companies can boost sales through improved product recommendations and targeted marketing campaigns. Online advertising agencies can command higher prices for ads that are more likely to resonate with users.\n\nPotential business models include licensing the technology to social media platforms, offering it as a service to e-commerce companies, or integrating it into online advertising platforms. The strategic positioning of Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile is as a key enabler of personalized online experiences. By accurately interpreting user intent, the system can help businesses deliver more relevant and engaging content, fostering stronger customer relationships. The ROI projections for this technology are promising. By increasing user engagement, improving conversion rates, and reducing advertising costs, businesses can achieve a significant return on their investment.","faqs":null,"topics":["social media ambiguity","user profile analysis","natural language processing","online communication","personalized content","systems","methods","resolving"],"tech_cluster":null},"seo":{"title":"Resolve Ambiguous Social Media Terms - Patent US-9854049","description":"Discover how Systems and Methods for Resolving Ambiguous Terms in Social Chatter Based on a User Profile clarifies social media slang. Full patent analysis, claims, and applications.","keywords":["social media ambiguity","user profile analysis","natural language processing","online communication","personalized content","patent","patent US-9854049"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854049","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854049","citation_suggestion":"Patentable. \"Systems and methods for resolving ambiguous terms in social chatter based on a user profile\" (US-9854049). https://patentable.app/patents/US-9854049","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854049","json":"https://patentable.app/api/llm-context/US-9854049","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:07:27.605Z"}