Nundlall et al., 2018 - Google Patents
A hybrid recommendation technique for big data systemsNundlall et al., 2018
View PDF- Document ID
- 10507543579565179431
- Author
- Nundlall C
- Sohun G
- Nagowah S
- Publication year
- Publication venue
- 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)
External Links
Snippet
Recommender systems are engines that recommend new items to users by analyzing their preferences. The web contains a large amount of information in the form of ratings, reviews, feedback on items and other unstructured data. These details are extracted to get …
- 238000000034 method 0 title abstract description 29
Classifications
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- 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
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- G06Q10/00—Administration; Management
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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