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Commercial articles searching non result intelligent processing system and method

An intelligent processing system and fruitless technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as lost customers, increase product sales, improve usability, and improve user experience Effect

Inactive Publication Date: 2008-06-25
北京当当网信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Otherwise, users may mistakenly think that certain goods are not available and turn to other channels to buy, thus losing customers

Method used

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  • Commercial articles searching non result intelligent processing system and method
  • Commercial articles searching non result intelligent processing system and method
  • Commercial articles searching non result intelligent processing system and method

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0054] Example 1, the process of querying "Modern Japanese Grammar Manual":

[0055] The keyword submitted by the user is "Modern Japanese Grammar Manual". Since there is no exact matching result, the intelligent processing module is invoked.

[0056] First, the keywords are divided into individual Chinese characters "modern / modern / Japanese / language / language / law / manual / book", and it can be obtained from the inverted index file in which documents (commodities) each Chinese character has appeared in:

[0057] Now: DocID a1 , DocID a2 ,...DocID am

[0058] Generation: DocID b1 , DocID b2 ,...DocID bn

[0059] Day: DocID c1 , DocID c2 ,...DocID cp

[0060] Language: DocID d1 , DocID d2 ,...DocID dq

[0061] Method: DocID e1 , DocID e2 ,...DocID ex

[0062] Hand: DocIDf 1 , DocIDf 2 ,...DocIDfy

[0063] Book: DocIDg 1 , DocIDg 2 ,...DocIDgz

[0064] Summarize all the above DocIDs and remove duplicates to get all possible document numbers (result B). Even if...

example 2

[0081] Example 2. The processing process of querying "deformation steel":

[0082] Firstly, read the calculation result A of the index file as described above, that is, commodities containing at least one character among "variation", "shape", "gold" and "steel".

[0083] Then, according to the information of each commodity, the word with the longest matching length with the word input by the user is found according to the positive ranking index file, and the result B is obtained. The longest matching string corresponding to some products is "deformation gold", and some products can only get "transformation" and "deformation".

[0084] After that, expand both sides of the longest matching string to obtain the result C. Such as the commodity name that has is " Transformers (DVD9) ", and the longest matching string is " Transformers ", and the first is exactly " change " word, can't expand forward. Start to expand backwards, because the distance between "just" word and effectiv...

example 3

[0099] Example 3. The process of querying "The Edge of Learning and Pain":

[0100] What this user may use is the Wubi input method, the Wubi code of "learning" is "ip", and the Wubi code of "Love" is "ep". The present invention can effectively help him find the desired product.

[0101] Firstly, similar to the above, the result A is calculated according to the index file.

[0102] Then, according to the information of each commodity, the word with the longest matching length with the word input by the user is found according to the positive ranking index file, and the result B is obtained. The corresponding longest matching strings are "edge with pain" and "edge with reason".

[0103] After that, expand both sides of the longest matching string to obtain the result C. Some product names are "The Edge of Love and Pain (Written by Guo Jingming)", and the longest matching string is "The Edge of Pain", and after expanding forward a Chinese character, the boundary is encountered...

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Abstract

The invention discloses a non-results intelligence processing system of search goods and a method thereof. The system comprises an index part as well as a search part. The original data are processed by index of the classification of words to generate an index file in certain format. Key words inquired by a user are processed by the classification of words. A query result is obtained by such steps as reading the index, reverting key words and calculating the similarity. The difference lies in the fact that a non-result processing module exits in the part of searches: under the circumstance of non results in normal query, the non-result processing module is transferred to process the key words of the classification of words, key words are reverted and expanded and modified, and finally the key words are sorted according to the degree of association. The result is fed back to the user. Therefore, the easy-to-use property of the whole electronic commerce web site is improved, the experience of the user is improved and the sales of products are increased.

Description

technical field [0001] The invention relates to the field of commodity search on e-commerce websites, in particular to the field of processing no result of commodity search in B2C mode. Background technique [0002] The product search engines of existing e-commerce websites are generally implemented by full-text search. Due to the limitation of the implementation method, the keywords inquired by users need to be completely consistent with the text information in the product information, or only the front and rear positions of words are allowed to be different. For example, if the product information is "Introduction to Full-Text Search", users can find the corresponding product normally when they query "Full-Text Search". Unable to find this item. For general web search engines, massive amounts of information can make up for this deficiency. Such as Baidu and Google, they index a large amount of information on the Internet, and the keywords that users query often appear in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/00G06Q30/02
Inventor 刘建国刘刚张研王洪涛
Owner 北京当当网信息技术有限公司
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