Patent application number | Description | Published |
20100138436 | METHOD AND SYSTEM OF SUGGESTING INFORMATION USED WITH ITEMS OFFERED FOR SALE IN A NETWORK-BASED MARKETPLACE - Methods and systems to suggest information to be used with an item being listed for sale may include analyzing stored search queries and identifying co-occurring terms or terms based on their desirability scores (or desirable terms). The co-occurring terms and the desirable terms may be identified based on their frequency of use in the search queries and/or in the title information or other information associated with items offered for sale. | 06-03-2010 |
20110004508 | METHOD AND SYSTEM OF GENERATING GUIDANCE INFORMATION - One embodiment provides a system for generating questions related to product aspects. The system may comprise: a product review analyzer to extract product values associated with the products from product reviews, in which the product values may include product categories, product aspects and product aspect evaluations; a product review summary builder to build product review summaries based on the extracted product values associated with the products; and a question generator to generate a set of questions regarding the product aspects based on the product review summaries. | 01-06-2011 |
20110078167 | SYSTEM AND METHOD FOR TOPIC EXTRACTION AND OPINION MINING - Methods, apparatus, and systems to determine a niche market of items or services, the first phase of which identifies a gap between demand and supply for a set of items. Session logs may be evaluated to compare transactions involving a specific item to those of a larger group of items. The resultant information identifies areas of high demand, but with low availability. The niche market information may be provided as direct merchandising items for sellers. In one example, the method generates niche market item web pages in specific categories. Additional methods, apparatus, and systems are disclosed. | 03-31-2011 |
20110113027 | DETECTING COMPETITIVE PRODUCT REVIEWS - One embodiment provides a system for recommending products. The system may include a search engine to retrieve, from a collection of product reviews, product review results using at least two input product names. The system may also include a template builder to build comparative sentence templates to define relationships between at least two product names, in which each comparative sentence template has a weight as a function of the defined relationship, and the search engine extracts one or more snippets matching at least one of the comparative sentence templates within each product review result. The system may further include a review ranking device to rank the product review search results based on the one or more extracted snippets, in which each snippet has a same weight as its matched comparative sentence template. | 05-12-2011 |
20130204730 | MARKETPLACE LISTING ANALYSIS SYSTEMS AND METHODS - One example embodiment relates to a method that comprises receiving marketplace listing information from a user, the marketplace listing information including a listing title, and accessing a plurality of character patterns for attracting attention to marketplace listings. The method includes analyzing, using one or more processors, the listing title to identify at least one of the plurality of character patterns in the listing title. A request for a new listing title is generated based on identifying at least one of the plurality of character patterns in the listing title. | 08-08-2013 |
20140012863 | SYSTEM AND METHOD FOR TOPIC EXTRACTION AND OPINION MINING - Technique for topic extraction and opinion mining are described. For example, a document that is pertinent to a topic is selected based on searching, using a key phrase, a plurality of documents. A subtopic referenced in the document is identified. A feature of the subtopic is identified based on the document. A rating of the feature of the subtopic is determined based on the document. Using at least one processor, a sentiment of the document is determined based in part on the feature and the rating of the feature. | 01-09-2014 |
20140095408 | DETECTING COMPETITIVE PRODUCT REVIEWS - One embodiment provides a system for recommending products. The system may include a search engine to retrieve, from a collection of product reviews, product review results using at least two input product names. The system may also include a template builder to build comparative sentence templates to define relationships between at least two product names, in which each comparative sentence template has a weight as a function of the defined relationship, and the search engine extracts one or more snippets matching at least one of the comparative sentence templates within each product review result. The system may further include a review ranking device to rank the product review search results based on the one or more extracted snippets, in which each snippet has a same weight as its matched comparative sentence template. | 04-03-2014 |
Patent application number | Description | Published |
20080208819 | GUI BASED WEB SEARCH - An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed. | 08-28-2008 |
20080215543 | Graph-based search leveraging sentiment analysis of user comments - A search system and method is provided. The method includes constructing a graph-based query that is indicative of a user's preference-levels for different features of a search item (a product, for example). The constructed graph-based query is executed by comparing the user's preference-levels for the different features of the product, which are graphically represented in the query, with information related to sentiments expressed by other users regarding the product. Information related to the sentiments expressed by other users regarding the product can include system-generated product performance graphs constructed from comments regarding the product obtained from the World Wide Web (or other network). Results returned and output upon execution of the graph-based query include system-generated product performance graphs that are similar to the user-submitted query. | 09-04-2008 |
20080215571 | PRODUCT REVIEW SEARCH - This disclosure describes various exemplary methods, computer program products, and user interfaces that provide results for a product review search with opinion snippets and opinion visual graphs. This disclosure describes identifying user opinions by extracting passages that contain subjective opinions from web pages; ranking the user opinions by incorporating sentiment orientations and sentiment topics, where the sentiment orientations are positive or negative; and generating review snippets to indicate user sentiment orientations and to describe user opinions toward product features. This disclosure improves a user product search experience from the following aspects: understanding the product review from snippets instead of browsing the web page; obtaining more information by reading reviews in a shorter time period; and obtaining overall opinions of users of the web through visualized opinion summarization. | 09-04-2008 |
20080249762 | CATEGORIZATION OF DOCUMENTS USING PART-OF-SPEECH SMOOTHING - A method and system is provided for classifying documents based on the subjectivity of the content of the documents using a part-of-speech analysis to help account for unseen words. A classification system trains a classifier using the parts of speech of training documents so that the classifier can classify unseen words based on the part of speech of the unseen word. The classification system then trains a part-of-speech model using the parts of speech of the n-grams of training data and labels of the training documents, and trains a term model using the term unigrams and labels. To classify a target document, the classification system applies the part-of-speech model to the part-of-speech n-grams of the target document and the term model to term n-grams of the target document. | 10-09-2008 |
20080249764 | Smart Sentiment Classifier for Product Reviews - A sentiment classifier is described. In one implementation, a system applies both full text and complex feature analyses to sentences of a product review. Each analysis is weighted prior to linear combination into a final sentiment prediction. A full text model and a complex features model can be trained separately offline to support online full text analysis and complex features analysis. Complex features include opinion indicators, negation patterns, sentiment-specific sections of the product review, user ratings, sequence of text chunks, and sentence types and lengths. A Conditional Random Field (CRF) framework provides enhanced sentiment classification for each segment of a complex sentence to enhance sentiment prediction. | 10-09-2008 |
20150081283 | HARMONICITY ESTIMATION, AUDIO CLASSIFICATION, PITCH DETERMINATION AND NOISE ESTIMATION - Embodiments are described for harmonicity estimation, audio classification, pitch determination and noise estimation. Measuring harmonicity of an audio signal includes calculation a log amplitude spectrum of audio signal. A first spectrum is derived by calculating each component of the first spectrum as a sum of components of the log amplitude spectrum on frequencies. In linear frequency scale, the frequencies are odd multiples of the component's frequency of the first spectrum. A second spectrum is derived by calculating each component of the second spectrum as a sum of components of the log amplitude spectrum on frequencies. In linear frequency scale, the frequencies are even multiples of the component's frequency of the second spectrum. A difference spectrum is derived subtracting the first spectrum from the second spectrum. A measure of harmonicity is generated as a monotonically increasing function of the maximum component of the difference spectrum within predetermined frequency range. | 03-19-2015 |