Liu et al., 2013 - Google Patents
Real‐time user interest modeling for real‐time rankingLiu et al., 2013
- Document ID
- 8321891892949581578
- Author
- Liu X
- Turtle H
- Publication year
- Publication venue
- Journal of the American Society for Information Science and Technology
External Links
Snippet
User interest as a very dynamic information need is often ignored in most existing information retrieval systems. In this research, we present the results of experiments designed to evaluate the performance of a real‐time interest model (RIM) that attempts to …
- 238000011160 research 0 abstract description 26
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
- G06F17/30023—Querying
- G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0241—Advertisement
- G06Q30/0251—Targeted advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
- G06F17/30023—Querying
- G06F17/30038—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Liu et al. | Personalized news recommendation based on click behavior | |
| US10366119B2 (en) | Customized content stream utilizing dwelltime-based machine learning | |
| Carmel et al. | Personalized social search based on the user's social network | |
| Shokouhi et al. | From queries to cards: Re-ranking proactive card recommendations based on reactive search history | |
| US9098813B1 (en) | Methods and systems for conducting a personalized web browser search by probability estimation that is unseen document is of interest to the user | |
| Jiang et al. | Mining search and browse logs for web search: A survey | |
| Cleger-Tamayo et al. | Top-N news recommendations in digital newspapers | |
| US20060026147A1 (en) | Adaptive search engine | |
| Liu et al. | Real‐time user interest modeling for real‐time ranking | |
| Cai et al. | Behavior‐based personalization in web search | |
| Park et al. | Mobile app retrieval for social media users via inference of implicit intent in social media text | |
| Van Gysel et al. | Mix'n match: Integrating text matching and product substitutability within product search | |
| Li et al. | Understanding an enriched multidimensional user relevance model by analyzing query logs | |
| Wei et al. | iRANK: A rank‐learn‐combine framework for unsupervised ensemble ranking | |
| Maidel et al. | Ontological content‐based filtering for personalised newspapers: A method and its evaluation | |
| Juárez et al. | Toward a privacy agent for information retrieval | |
| Tang et al. | Learning to rank audience for behavioral targeting in display ads | |
| WO2008032037A1 (en) | Method and system for filtering and searching data using word frequencies | |
| Lopez Hernandez et al. | A Nondisturbing Service to Automatically Customize Notification Sending Using Implicit‐Feedback | |
| Wen | Development of personalized online systems for web search, recommendations, and e-commerce | |
| Nkweteyim | A collaborative filtering approach to predict web pages of interest from navigation patterns of past users within an academic website | |
| Sahraoui et al. | Time Sensitivity for Personalized Search | |
| Lee et al. | Sentence‐based relevance flow analysis for high accuracy retrieval | |
| Lachake et al. | A survey on personalized search: an web Information retrieval system | |
| Min | Utilizing external resources for enriching information retrieval |