Keyword recommending method and device

A recommendation method and keyword technology, applied in the computer field, can solve problems such as uneven quality, insufficient keyword recall rate, and less information, and achieve a balance between revenue and commercial value, good experience and use effect, and balanced positive guidance Effect

Inactive Publication Date: 2015-05-20
ALIBABA GRP HLDG LTD
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AI Technical Summary

Problems solved by technology

[0008] Based on the combination of offer terms, the title and attributes of the user's offer are limited by the length, the information contained is generally less, and the quality is uneven. It is difficult to recommend a sufficient number of keywords for the user to choose, and the recall of keywords The rate is obviously insufficient
The IR-based offer

Method used

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  • Keyword recommending method and device
  • Keyword recommending method and device
  • Keyword recommending method and device

Examples

Experimental program
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Effect test

Embodiment 1

[0053] Flowchart such as figure 1 shown, including the following steps:

[0054] Step 101, receiving input information;

[0055] Step 102, performing word segmentation on the input information to obtain one or more word items;

[0056] Preferably, the label and weight of each term can also be marked after the input information is segmented;

[0057] Step 103, use each term to query the pre-established inverted index structure to obtain the relevant keywords corresponding to the term, and the keywords corresponding to all terms form a set of candidate recommended words;

[0058] Step 104, calculating the correlation score between each keyword in the set of candidate recommended words and the input information, and selecting one or more keywords according to the scores as recommended words for output.

[0059] The correlation score includes one or more of the following scores: text similarity score, IR correlation score, category correlation score. Wherein: the text similari...

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PUM

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Abstract

The invention discloses a keyword recommending method and device. The method and device can improve correlation of keywords and published information. The method includes the steps that input information is received; the input information is segmented into a plurality of lexical items; an inverted index structure which is built in advance is inquired by means of each lexical item, and the keywords obtained by inquiring the inverted index structure through all the lexical items form a candidate recommendation word set; the correlation score of each keyword in the candidate recommendation work set and the input information is calculated, and one or more keywords are selected according to the correlation scores to serve as recommendation word to be output. The keyword recommending device comprises a receiving module, a pre-processing module, a recall module and a keyword evaluation module. By means of correlation scoring, one or more keywords which are most correlated are selected to serve as recommendation words according to the correlation scores, and the problem that in the prior art, the keywords are not sufficient in correlation is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a keyword recommendation method and device. Background technique [0002] Online bidding advertisement is a widely existing Internet information recommendation scheme, including information recommendation based on keywords. The keyword-based information recommendation method is to determine the information to be pushed to the user according to the keywords entered by the user in the search engine. When users place information inside and outside the website, they must choose to put in keywords. How to obtain suitable keywords becomes one of the key operations. After users who place information select keywords, they bid on keywords, and the website or information delivery platform formulates delivery and deduction mechanisms. Common deduction mechanisms include CPC (Cost Per Click, deduction based on clicks, the more information is clicked, the greater the deduction), CPM (Cost P...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/9535G06Q30/0253G06Q30/0277
Inventor 王磊黄云平
Owner ALIBABA GRP HLDG LTD
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