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Interest aware service recommendation method based on MapReduce model

A service recommendation, web service technology, applied in the field of computer data processing, can solve problems such as large amount of information

Active Publication Date: 2013-12-18
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the success of Web2.0, the amount of information on the Internet is increasing, which brings challenges to the existing recommendation system

Method used

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  • Interest aware service recommendation method based on MapReduce model
  • Interest aware service recommendation method based on MapReduce model
  • Interest aware service recommendation method based on MapReduce model

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0084] This embodiment assumes that hotel booking is taken as an example, and three hotels in Kowloon, Hong Kong are selected: W Hotel in Hong Kong, The Langham Hotel in Hong Kong, and Harbor Grand Hotel in Kowloon, Hong Kong, and the best hotel will be selected for Alice and Tom respectively in these three hotels. Hotel for them. This example starts from www.tripadvisor.com This famous travel website obtains the comments of historical users of these three hotels. For convenience, each hotel selects 30 historical user comments respectively. Hotel reviews, which are also available from www.tripadvisor.com get.

[0085] Table 2 gives a candidate list of keywords in a simple hotel reservation system.

[0086] Table 2. Sample keyword candidate list for hotel reservation system

[0087] No.

Key words

No.

Key words

No.

Key words

1

service

2

Room

3

Shopping

4

Cleanliness

5

food

6

value

...

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Abstract

The invention discloses an interest aware service recommendation method based on a MapReduce model. The method comprises the following steps of 1, acquiring a data set through the comment of a history user; 2, extracting the interests of an object user and the history user according to the corresponding keyword list and field word bank provided by the method, wherein the object user refers to the current user required to be recommended; 3, for each candidate Web service, calculating the similarity between the object user and the history user of the candidate Web service for searching users similar to the object user; 4, after calculating the similarity between the object user and the history user, predicting an individual score of the candidate Web service for the object user and providing an individual service ranking list according to a weighted average method, and recommending for the user according to the individual ranking list; 5, realizing the steps 2 to 4 through a Map-Reduce programming framework through four stages for parallel arrangement.

Description

technical field [0001] The invention relates to the field of computer data processing, in particular to an interest-aware service recommendation method based on a Map-Reduce model suitable for service recommendation. Background technique [0002] The rapid development of the Internet has brought mankind into the era of information society and network economy, and has had a profound impact on the development of enterprises and personal life. In the virtual environment of e-commerce, merchants provide so many types and quantities of commodities that it is impossible for users to know all the commodities at a glance through a small computer screen, and it is impossible for users to check and select commodities like in a physical environment. Therefore, merchants are required to provide some intelligent purchasing guidance, recommend products that users may be interested in or are satisfied with according to the user's hobbies, so that users can easily obtain the products they n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 窦万春孟顺梅
Owner NANJING UNIV
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